Daniel Schiff

AI Policy · Governance · Ethics

Daniel S. Schiff

Purdue University
Department of Political Science
110 N. University St.
West Lafayette, IN 47907

Curriculum Vitae

Email: [email protected]

Website: danielschiff.com

Google Scholar · ResearchGate · LinkedIn · ORCID · GRAIL · GitHub

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Last updated: 2026-10-16

Research Interests

  • Governance of artificial intelligence
  • Social and ethical implications of technology
  • Theories of the policy process
  • Technology policy

Professional Appointments

  • 2022 – Present Purdue University, Department of Political Science
  • 2026 – Present Associate Professor of Technology Policy
  • 2022 – 2026 Assistant Professor of Technology Policy
  • Co-Director, Governance and Responsible AI Lab (GRAIL)
  • 2022 – 2023 JP Morgan Chase & Co.
  • Responsible AI Lead (Sr. Executive Director, on Industry Leave)
  • 2013 – 2017 Philadelphia Education Fund
  • 2015 – 2017 Director of Research, Evaluation, and Planning
  • 2013 – 2015 Research Analyst/Data Manager

Education

  • 2022 Georgia Institute of Technology
  • PhD, School of Public Policy
  • Georgia Tech Institute Fellow; Georgia Tech President’s Fellow
  • Research interests: Governance and Social Implications of Artificial Intelligence
  • Field: Science and Technology Policy; Minor: Quantitative Methods
  • Dissertation: Setting the Agenda: Actors, Issues, and Influence in U.S. Artificial Intelligence Policy. https://doi.org/10.17605/OSF.IO/KW8XD
  • 2013 University of Pennsylvania
  • Master of Science in Social Policy, School of Social Policy and Practice
  • 2012 Princeton University
  • Bachelor of Arts in Philosophy; Certificate in Values & Public Life
  • Focus: Artificial Intelligence, Ethics, and Robotics & Intelligent Systems
  • Independent work: The Necessity of Sensory Perception for Machine Cognition
  • Thesis: The Ethics of Artificial Intelligence

Peer-Reviewed Journal Articles

* indicates co-equal first authorship.

  1. Enwereazu, O.*, Schiff, K. J.*, Girard, T.*, Wilhelm, A.*, & Schiff, D. S.* (2026). A Public Values Framework for AI Governance: Evidence From US Federal AI Policymaking. Public Administration. https://doi.org/10.1111/padm.70079
  2. Magalhães, P. C., Arnesen, S., Kern, C., Koenig, P. D., Schiff, D. S., & Tyler, T. R. (2026). Transparency, neutrality, voice, and respect: How procedural fairness considerations affect AI acceptability in algorithmic societies. Technology in Society, 87, 103398. https://doi.org/10.1016/j.techsoc.2026.103398
  3. Hu, S., Lin, L., Desai, S. H., Pawar, A. S., Lin, G., Wang, X., Schiff, D. S., Mohanty, S., Ofman, R., Bejtic, N., Gillham, J., Zhang, W., Wu, B., Canton, C., Liu, X., Verdoliva, L., Lyu, S., Tang, Y., Wu, Z., … Kao, T. (2026). The competition of fairness in AI-generated face detection: Methods and results. Machine Intelligence Research, 23(3), 501–527. https://doi.org/10.1007/s11633-026-1637-x
  4. Jacobson, R.*, Schiff, D. S.*, & Schiff, K. J.* (2026). How New Issues Become Polarized: Partisan Triggers and Subsystem Shopping in Early AI Policymaking. Policy & Internet, 18(1), e70020. https://doi.org/10.1002/poi3.70020
  5. Wiese, L.*, Rathinam, S. S.*, Oschinski, M.*, DeWitt, B., & Schiff, D. S.* (2025). AI Ethics and Governance in the Job Market: Trends, Skills, and Sectoral Demand. IEEE Transactions on Technology and Society, 6(4), 458–470. https://doi.org/10.1109/TTS.2025.3567143
  6. James, M., Schiff, D. S., Love, H. A., Mareels, I., Schmitt, K., & Adamson, G. (2025). Special Issue Editorial: Extraction by Design—AI, Value, and the Future of Work. IEEE Transactions on Technology and Society, 6(4), 421–429. https://doi.org/10.1109/TTS.2025.3630817
  7. Love, H. A., Adamson, G., James, M., Lajoie, J., Mareels, I., Pearl, Z., Schiff, D. S., Schmitt, K., Arohi, T., Buchanan, J., Camaréna, S., Kaevats, M., Reynolds, J., Albuquerque, P. H., Havens, J. C., Chacón-Hurtado, D., Lahiri, S., Ocal, A., Orchard, A., … Zhu, Q. (2025). The Future of Work in the Age of Automation: Proceedings of a Workshop on Norbert Wiener’s 21st Century Legacy. IEEE Transactions on Technology and Society, 6(4), 430–452. https://doi.org/10.1109/TTS.2024.3476041
  8. Ganz, S. C., & Schiff, D. S. (2025). Subcoalition Cluster Analysis: A New Method for Modeling Conflict in Organizations. Management Science, 71(9), 7948–7969. https://doi.org/10.1287/mnsc.2020.00013
  9. Schiff, K. J.*, Schiff, D. S.*, Moy, B. J.*, McCrain, J.*, Mourtgos, S. M.*, & Adams, I. T.* (2025). Does civilian oversight impact police legitimacy? PNAS Nexus, 4(9), pgaf267. https://doi.org/10.1093/pnasnexus/pgaf267
    American Political Science Association, Public Policy Section, Best Paper on Public Policy Award (2025)
  10. Hornberger, M., Bewersdorff, A., Schiff, D. S., & Nerdel, C. (2025). Development and validation of a short AI literacy test (AILIT-S) for university students. Computers in Human Behavior: Artificial Humans, 5, 100176. https://doi.org/10.1016/j.chbah.2025.100176
  11. Schiff, D. S., Lee, J., Borenstein, J., & Zegura, E. (2025). Influences and inhibitors in STEM undergraduate social responsibility development. International Journal of STEM Education, 12(1), 34. https://doi.org/10.1186/s40594-025-00553-3
  12. Bewersdorff, A., Hornberger, M., Nerdel, C., & Schiff, D. S. (2025). AI advocates and cautious critics: How AI attitudes, AI interest, use of AI, and AI literacy build university students’ AI self-efficacy. Computers and Education: Artificial Intelligence, 8, 100340. https://doi.org/10.1016/j.caeai.2024.100340
  13. Wiese, L. J., Patil, I., Schiff, D. S., & Magana, A. J. (2025). AI ethics education: A systematic literature review. Computers and Education: Artificial Intelligence, 8, 100405. https://doi.org/10.1016/j.caeai.2025.100405
  14. Hornberger, M., Bewersdorff, A., Schiff, D. S., & Nerdel, C. (2025). A Multinational Assessment of AI Literacy among University Students in Germany, the UK, and the US. Computers in Human Behavior: Artificial Humans, 4, 100132. https://doi.org/10.1016/j.chbah.2025.100132
  15. Schiff, K. J.*, Schiff, D. S.*, Adams, I. T., McCrain, J., & Mourtgos, S. M. (2025). Institutional factors driving citizen perceptions of AI in government: Evidence from a survey experiment on policing. Public Administration Review, 85(2), 451–467. https://doi.org/10.1111/puar.13754
  16. Adams, I. T., McCrain, J., Schiff, D. S., Schiff, K. J., & Mourtgos, S. M. (2025). Police reform from the top down: Experimental evidence on police executive support for civilian oversight. Journal of Policy Analysis and Management, 44(2), 403–427. https://doi.org/10.1002/pam.22620
  17. Schiff, K. J.*, Schiff, D. S.*, & Bueno, N. S.* (2025). The Liar’s Dividend: Can Politicians Claim Misinformation to Evade Accountability? American Political Science Review, 119(1), 71–90. https://doi.org/10.1017/S0003055423001454
  18. Schiff, D. S.*, Kelley, S.*, & Camacho Ibáñez, J.* (2024). The emergence of artificial intelligence ethics auditing. Big Data & Society, 11(4), 20539517241299732. https://doi.org/10.1177/20539517241299732
  19. Schiff, D. S. (2024). Framing contestation and public influence on policymakers: Evidence from US artificial intelligence policy discourse. Policy & Society, 43(3), 255–288. https://doi.org/10.1093/polsoc/puae007
  20. Susser, D., Schiff, D. S., Gerke, S., Cabrera, L. Y., Cohen, I. G., Doerr, M., Harrod, J., Kostick-Quenet, K., McNealy, J., Meyer, M. N., Price II, W. N., & Wagner, J. K. (2024). Synthetic Health Data: Real Ethical Promise and Peril. Hastings Center Report, 54(5), 8–13. https://doi.org/10.1002/hast.4911
  21. Mourtgos, S. M., Adams, I. T., McCrain, J., Schiff, K. J., & Schiff, D. S. (2024). Speaking of reform: Experimental insights into influencing police executives’ perspectives on civilian oversight. Criminology & Public Policy, 23(3), 689–720. https://doi.org/10.1111/1745-9133.12674
  22. Schiff, D. S., Lee, J., Borenstein, J., & Zegura, E. (2024). The impact of community engagement on undergraduate social responsibility attitudes. Studies in Higher Education, 49(7), 1151–1167. https://doi.org/10.1080/03075079.2023.2260414
  23. Schiff, D. S., & Schiff, K. J. (2023). Narratives and Expert Information in Agenda-Setting: Experimental Evidence on State Legislator Engagement with Artificial Intelligence Policy. Policy Studies Journal, 51(4), 817–842. https://doi.org/10.1111/psj.12511
  24. Schiff, D. S. (2023). Looking through a policy window with tinted glasses: Setting the agenda for U.S. AI policy. Review of Policy Research, 40(5), 729–756. https://doi.org/10.1111/ropr.12535
  25. O’Shaughnessy, M. R., Schiff, D. S., Varshney, L. R., Rozell, C. J., & Davenport, M. A. (2023). What governs attitudes toward artificial intelligence adoption and governance? Science and Public Policy, 50(2), 161–176. https://doi.org/10.1093/scipol/scac056
  26. Schiff, D. S., Schiff, K. J., & Pierson, P. (2022). Assessing public value failure in government adoption of artificial intelligence. Public Administration, 100(3), 653–673. https://doi.org/10.1111/padm.12742
  27. Schiff, D. (2022). Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies. International Journal of Artificial Intelligence in Education, 32(3), 527–563. https://doi.org/10.1007/s40593-021-00270-2
  28. Nazareno, L., & Schiff, D. S. (2021). The Impact of Automation and Artificial Intelligence on Worker Well-being. Technology in Society, 67, 101679. https://doi.org/10.1016/j.techsoc.2021.101679
  29. Schiff, D., Rakova, B., Ayesh, A., Fanti, A., & Lennon, M. (2021). Explaining the Principles to Practices Gap in AI. IEEE Technology & Society Magazine, 40(2), 81–94. https://doi.org/10.1109/MTS.2021.3056286
  30. Schiff, D., Borenstein, J., Biddle, J., & Laas, K. (2021). AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection. IEEE Transactions on Technology and Society, 2(1), 31–42. https://doi.org/10.1109/TTS.2021.3052127
  31. Schiff, D. (2021). Out of the Laboratory and Into the Classroom: The Future of Artificial Intelligence in Education. AI & Society, 36(1), 331–348. https://doi.org/10.1007/s00146-020-01033-8
  32. Schiff, D. S., Logevall, E., Borenstein, J., Newstetter, W., Potts, C., & Zegura, E. (2021). Linking personal and professional social responsibility development to microethics and macroethics: Observations from early undergraduate education. Journal of Engineering Education, 110(1), 70–91. https://doi.org/10.1002/jee.20371
  33. Schiff, D., Herzog, L., Farley-Ripple, E., & Iannuccilli, L. T. (2015). Teacher networks in Philadelphia: Landscape, engagement, and value. Penn GSE Perspectives on Urban Education, 12(1). https://eric.ed.gov/?id=EJ1056676
  34. Kang, Z. T., Wagner, B. K., Parrish, J., Schiff, D., & Summers, C. J. (2007). Enhancement of white luminescence from SiNx films by surface roughening. Nanotechnology, 18(41), 415709. https://doi.org/10.1088/0957-4484/18/41/415709

Peer-Reviewed Conference Papers

  1. Rho, E., Schiff, K. J., Jong, J., Schiff, D. S., Chen, Y.-C., Lee, J., Kim, Y., & Ahn, M. Survey of Artificial Intelligence in Local Government (SAIL-Gov): AI Adoption, Governance, and Public Values at the Local Level. dg.o 2026: 27th Annual International Conference on Digital Government Research. (Forthcoming).
  2. Chung, C. H., & Schiff, D. S. (2026). The Politics of AI Ethics: How Normative Principles Translate into Law and Policy in South Korea. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 9(1), 722–733. https://doi.org/10.1609/aies.v9i1.43176
  3. Hu, S., Wang, X., Schiff, D. S., Mohanty, S. N., Ofman, R., Zhang, W., Wu, B., Ferrer, C. C., Liu, X., Verdoliva, L., & Lyu, S. (2025). The Competition of Fairness in AI Face Detection. NeurIPS 2025 Competition Track. https://openreview.net/forum?id=zus9nXDC5I
  4. Chung, C. H., & Schiff, D. S. (2025). AI and the Social Contract. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 8(1), 615–627. https://doi.org/10.1609/aies.v8i1.36575
  5. Ganesh, B., Schiff, D. S., & Anderson, S. (2025). The ‘Wild West’ of Medicine: Exploring the Emergence of ‘Grassroots’ AI Governance in Radiology. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 8(2), 1018–1031. https://doi.org/10.1609/aies.v8i2.36608
  6. Barkhuff, G., Borenstein, J., Schiff, D., Uchidiuno, J., & Zegura, E. (2025). Towards a More Inclusive Curriculum: Opportunities for Broadening and Diversifying Computing Ethics Education. Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1, 60–66. https://doi.org/10.1145/3641554.3701879
  7. Arnold, Z., Schiff, D. S., Schiff, K. J., Love, B., Melot, J., Singh, N., Jenkins, L., Lin, A., Pilz, K., Enwereazu, O., & Girard, T. (2024). Introducing the AI Governance and Regulatory Archive (AGORA): An Analytic Infrastructure for Navigating the Emerging AI Governance Landscape. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7, 39–48. https://doi.org/10.1609/aies.v7i1.31615
  8. Barkhuff, G., Borenstein, J., Schiff, D., Uchidiuno, J., & Zegura, E. (2024). Considerations for Improving Comprehensive Undergraduate Computing Ethics Education. Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2, 1560–1561. https://doi.org/10.1145/3626253.3635557
  9. Walker, C. P., Schiff, D. S., & Schiff, K. J. (2024). Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database. Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23053–23058. https://doi.org/10.1609/aaai.v38i21.30349
    CASMI Best Paper Award (2024)
  10. Kreth, Q., Schiff, D. S., Lee, J., Borenstein, J., & Zegura, E. (2022). Social Responsibility Attitudes Among Undergraduate Computer Science Students: An Empirical Analysis. 2022 ASEE Annual Conference & Exposition. https://doi.org/10.18260/1-2--41369
    Best Paper Award (x2) + Finalist, ASEE 2022
  11. Schiff, D., Ayesh, A., Musikanski, L., & Havens, J. C. (2020). IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence. IEEE International Systems, Man, and Cybernetics Conference, 2746–2753. https://doi.org/10.1109/SMC42975.2020.9283454
  12. Schiff, D., Rakova, B., Ayesh, A., Fanti, A., & Lennon, M. (2020). Principles to Practices for Responsible AI: Closing the Gap. European Conference on AI. http://arxiv.org/abs/2006.04707
  13. Schiff, D., Biddle, J., Borenstein, J., & Laas, K. (2020). What’s Next for AI Ethics, Policy, and Governance? A Global Overview. Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society, 153–158. https://doi.org/10.1145/3375627.3375804
  14. Schiff, D., Murahwi, Z., Musikanski, L., & Havens, J. C. (2019). A New Paradigm for Autonomous and Intelligent Systems Development: Why Well-being Measurement Matters. ACM CHI Conference on Human Factors in Computing Systems, workshop on Digital Well-being, Glasgow, UK. https://digitalwellbeingworkshop.files.wordpress.com/2019/04/02-wellbeing_measurement_schiff_murahwi_musikanski_havens.pdf
  15. Narvilkar, M., Mangiameli, J., Alvarado Garcia, A., Ismail, A., Schiff, D., Schechter, D., Chen, J., Bhat, K., Wong-Villacres, M., Vasudeva, A., Ramesh, A., Dye, M., Karusala, N., Singh, P., Murthy, S., Gupta, S., Lakshmi, U., & Kumar, N. (2019). Bringing Shades of Feminism To Human-Centered Computing. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 1–12. https://doi.org/10.1145/3290607.3310419

Book Chapters

  1. Patil, I., & Schiff, D. S. AI, policy, and power. In S. Dan, N. Mäntylä, & J. E. Fountain (Eds.), Artificial Intelligence and Power in Government. Palgrave Macmillan. (Forthcoming).
  2. Schiff, D. S. (2026). Future Trends in Global AI Governance. In M. Furendal & M. Lundgren (Eds.), Handbook on the Global Governance of Artificial Intelligence (pp. 361–382). Edward Elgar Publishing. https://doi.org/10.4337/9781035338580.00030
  3. Wiese, L. J., & Schiff, D. S. (2026). Discourse before Doctrine: The Category Error in AI Ethics Education. In W. Holmes & C. Pelletier (Eds.), Handbook of Critical Studies of Artificial Intelligence and Education (pp. 233–246). Edward Elgar Publishing. https://doi.org/10.4337/9781035335879.00028
  4. Schiff, D. S. (2026). Strategies for harmonizing fragmented AI ethics frameworks, standards, and regulations. In W. Xu (Ed.), Handbook of Human-Centered Artificial Intelligence (pp. 1897–1940). Springer Nature. https://doi.org/10.1007/978-981-95-3658-0_82
  5. Campos, S., & Schiff, D. S. (2024). The AI extreme risk mitigation philanthropic sector: A philanthropic ecosystem at the forefront of AI. In G. Ugazio & M. Maricic (Eds.), The Routledge Handbook of Artificial Intelligence and Philanthropy (pp. 408–430). Routledge. https://doi.org/10.4324/9781003468615-29
  6. Kreth, Q., Schiff, D. S., Lee, J., Borenstein, J., & Zegura, E. (2024). Social Responsibility and Ethics in STEM Education: The State of the Field. In E. Hildt, K. Laas, E. M. Brey, & C. Z. Miller (Eds.), Building Inclusive Ethical Cultures in STEM (pp. 19–33). Springer International Publishing. https://doi.org/10.1007/978-3-031-51560-6_2
  7. Schiff, D. S., & Rosenberg-Kima, R. B. (2023). AI in education: Landscape, vision and critical ethical challenges in the 21st century. In S. Lindgren (Ed.), Handbook of Critical Studies of Artificial Intelligence (pp. 804–814). Edward Elgar Publishing. https://doi.org/10.4337/9781803928562.00081
  8. Schiff, D. S., Laas, K., Biddle, J. B., & Borenstein, J. (2022). Global AI Ethics Documents: What They Reveal About Motivations, Practices, and Policies. In K. Laas, M. Davis, & E. Hildt (Eds.), Codes of Ethics and Ethical Guidelines, Emerging Technologies, Changing Fields (pp. 121–143). Springer. https://doi.org/10.1007/978-3-030-86201-5_7

Additional Publications

  1. Schiff, D. S. (2026). Power and Public Values. Issues in Science and Technology, 42(4). https://issues.org/power-public-values-ai-nelson-forum/
  2. Ziosi, M., Plueckebaum, M., Casper, S., Papadatos, H., Chin, Z. S., Slattery, P., Gealy, J., Rudner, T. G. J., Tse, B., Gil, A., Paskov, P., Negele, M., Gipiškis, R., Madkour, N., Lummis, V., Jain, R., Eder, L., Fort, K., van Draanen Glismann, M. C., … Schiff, D. S., … Trager, R. (2026). Open problems in frontier AI risk management. Oxford Martin AI Governance Initiative, University of Oxford. https://doi.org/10.48550/arXiv.2604.25982
  3. Wack, M., Walker, C., Birrer, A., Schiff, K. J., Schiff, D., & Messina, J. (2025). Scrutinizing the many faces of political deepfakes. Tech Policy Press. https://www.techpolicy.press/scrutinizing-the-many-faces-of-political-deepfakes/
  4. Schiff, D. S. (2025). Bridging Policy and Ethics: On the Launch of AI Policy Corner. In R. Butalid, C. Wright, & I. Kherroubi García (Eds.), The State of AI Ethics Report (Volume 7) – AI at the Crossroads: A Practitioner’s Guide to Community-Centered Solutions (pp. 17–19). Montreal AI Ethics Institute. https://doi.org/10.5281/zenodo.17328882
  5. Yuan, J., Wang, X., ... Schiff, D. S., ... et al. (2025). NSF US-Southeast Asia Regional Workshop on Responsible Artificial Intelligence [Technical Report]. National Science Foundation (NSF). https://cse.buffalo.edu/~jsyuan/ResponsibleAI_NSF.html
  6. Schiff, D. S., Bewersdorff, A., & Hornberger, M. (2025). AI literacy: What it is, what it isn’t, who needs it and why it’s hard to define. The Conversation. https://doi.org/10.64628/AAI.t3jn7atq9
    American Political Science Association, Information Technology and Politics Section Best Public Facing Scholarship Award (2026)
  7. Dreksler, N., Clare, S., Jackson Schiff, K., Schiff, D. S., Ahn, C., Peskowitz, Z., & Law, H. (2025). What the public thinks about AI and the implications for governance. Brookings TechTank. https://www.brookings.edu/articles/what-the-public-thinks-about-ai-and-the-implications-for-governance/
  8. Dreksler, N., Law, H., Ahn, C., Schiff, D. S., Schiff, K. J., & Peskowitz, Z. (2025). What Does the Public Think About AI? An Overview of the Public’s Attitudes Towards AI and a Resource for Future Research. Social Science Research Network (SSRN). https://doi.org/10.2139/ssrn.5108572
  9. Schiff, D. S., Schiff, K. J., & Bueno, N. (2024). Watch out for false claims of deepfakes, and actual deepfakes, this election year. Brookings TechTank. https://www.brookings.edu/articles/watch-out-for-false-claims-of-deepfakes-and-actual-deepfakes-this-election-year
  10. Schiff, D. S. (2024). Narratives and Expert Information in Agenda-Setting: Experimental Evidence on State Legislator Engagement with AI Policy. Policy Studies Journal Blog. https://psjblog.net/2024/04/17/narratives-and-expert-information-in-agenda-setting-experimental-evidence-on-state-legislator-engagement-with-artificial-intelligence-policy/
  11. Schiff, D. S. (2024). In shaping AI policy, stories about social impacts are just as important as expert information. London School of Economics Blog. https://blogs.lse.ac.uk/usappblog/2024/01/11/in-shaping-ai-policy-stories-about-social-impacts-are-just-as-important-as-expert-information/
  12. UC Berkeley CLTC. (2023). UC Berkeley AI Risk-Management Standards Profile for General-Purpose AI Systems (GPAIS) and Foundation Models. UC Berkeley Center for Long-Term Cybersecurity.
  13. Schiff, D. S., & Schiff, K. J. (2023). Generative AI like ChatGPT could help boost democracy – if it overcomes key hurdles. The Conversation. https://doi.org/10.64628/AAI.w4vxq9ujc
  14. Schiff, K. J., Schiff, D., & Bueno, N. (2021). 10 Things to Know About Pilot Studies. Evidence in Governance and Politics (EGAP). https://egap.org/resource/10-things-to-know-about-pilot-studies
  15. IEEE. (2020). 7010-2020—IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being, Secretary. IEEE Standards Association. https://doi.org/10.1109/IEEESTD.2020.9084219
  16. IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. (2019). Ethically Aligned Design: A Vision for Prioritizing Human Well-Being with Autonomous and Intelligent Systems (First Edition). IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems.
  17. Schiff, D., & Borenstein, J. (2019). How Should Clinicians Communicate With Patients About the Roles of Artificially Intelligent Team Members? AMA Journal of Ethics, 21(2), 138–145. https://doi.org/10.1001/amajethics.2019.138

Works Under Revision or Review

* indicates co-equal first authorship.

  1. Wiese, L., Schiff, D. S., & Magana, A. Why Expect Students to Change? How Discourse Supports Moral Reasoning in AI Ethics Education.
  2. Rho, E., Schiff, K. J., Schiff, D. S., Lee, J., Chen, Y.-C., Kim, Y., & Jong, J. What Shapes AI Adoption in Local Government? An Organizational Analysis Using the Survey of AI in Local Government (SAIL-Gov).
  3. Wiese, L., Schiff, D. S., & Magana, A. Two Instruments, One Theory, One Corpus, Different Answers: The Moral Measurement of Language Model Output.
  4. Aristovnik, A., Ravšelj, D., Abdić, A., Abdić, A., Abdulrab, M., Abushiba, M., Acevedo, J., Adhikari, S. R., Al Mehdawi, K. A. M., Alcazar-Gonzales, J. C., Alfalah, A. A., Alfieri, L., Alhakimi, W., Aljabali, A. A. A., Al-Mamary, Y. H., Alshammari, M. M., Al-Tammemi, A. B., Alzahrani, H., Araya-Orellana, J. P., … Schiff, D. S., … Babšek, M. Global Artificial Intelligence Adoption Survey: Perceptions of Public Sector Employees.
  5. Schiff, D. S., Nazareno, L., Lee, Z., Wiese, L., & Kaul, V. AI and the Future of Work(ers): A Systematic Review and Database of One Thousand Studies.
  6. Patil, I., & Schiff, D. S. Civic Capacity or Technical Competence: Can AI Literacy Democratize AI Agenda-Setting?
  7. Saeri, A. K., Graham, J., Noetel, M., Slattery, P., Ah-king, D., Aittokallio, E., Akindehin, I., Al Mahdi, A., Alhajjar, E., Andersson Lipcsey, R., Ang, G., Azam, C. M., Azaria, A., Balkissoon, R., Barberá, I., Bareato, C., Barry, J., Basehart, M., Bean, A. M., … Schiff, D. S., … Thompson, N. Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts. Preprint
  8. Schiff, D. S.*, Schiff, K. J.*, Wilhelm, A.*, & Girard, T.* Responsible AI Commitments Build Public Trust. Preprint
  9. Ekbia, H. R., Khan, S. O., AbuMusab, S., Chen, Y., Rheu, M., Rodwell, E., Schiff, D. S., Shackelford, S. J., & Yost, J. R. AI Companions, Human Concerns: A Pragmatic Perspective.
  10. Mathur, S., Rittner, R. D., Thakur, V. A., Schiff, D. S., & Islam, T. Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA. Preprint
  11. Watson, A., Richards, G., & Schiff, D. Explain first, trust later: LLM-augmented explanations for graph-based crypto anomaly detection. Preprint
  12. Robinson, C. G., Schiff, D. S., Schiff, K. J., McCrain, J., Adams, I., & Mourtgos, S. Technology use and governance in local US police departments.
  13. Chung, C. H., Schiff, D. S., & Kim, M. H. Elite preferences for AI governance in post-developmental states: Evidence from legislative staffers and policy experts in Korea.
  14. Schiff, D. S., Schiff, K. J., Kelley, S., McCrain, J., & Adams, I. Values Guiding AI Adoption Differ Between the Public and Private Sectors.
  15. Walker, C.*, Birrer, A.*, Wack, M.*, Schiff, K. J.*, Schiff, D. S.*, & Messina, J. P.* Beyond Deception: A Functional Typology of Political Deepfakes. Preprint
  16. Lin, G.*, Lin, L.*, Walker, C. P., Schiff, D. S., & Hu, S. Fit for Purpose? Deepfake Detection in the Real World. Preprint
  17. Holmes, W., Mouta, A., Hillman, V., Schiff, D. S., Laak, K.-J., Atenas, J., Bardone, E., Lochead, K., Gonsales, P., Havemann, L., Seon, J., Go, B., Schreurs, B., Zhgenti, S., Lee, K., Bali, M., Bialik, M., Medina-Gual, L., Adhicandra, I., … Yeo, B. Critical Studies of Artificial Intelligence and Education: Putting a Stake in the Ground. Preprint

Conference Presentations

  1. Patil, I., & Schiff, D. S. (2026, September 5). Civic Capacity or Technical Competence: Can AI Literacy Democratize AI Agenda-Setting? Annual Meeting of the American Political Science Association, Boston, MA.
  2. Patil, I., & Schiff, D. S. (2026, September 5). Mapping Beliefs and Resources: Insights on Stakeholder Power in AI Policy. Annual Meeting of the American Political Science Association, Boston, MA.
  3. Walker, C. P., Bueno, N. S., Schiff, D. S., Schiff, K. J., & Messina, J. P. (2026, September 5). Watered Down Watermarks? Assessing the Effectiveness of Labeling Deepfakes. Annual Meeting of the American Political Science Association, Virtual.
  4. Kaul, V., Neath, J., Schiff, K. J., & Schiff, D. S. (2026, September 4). Unequal Footprints: Data Centers and Urban Marginalization in the United States. Annual Meeting of the American Political Science Association, Boston, MA.
  5. Patil, I., Ahn, C., Schiff, K. J., Schiff, D. S., Lu, Y., & Liu, Y. (2026, September 3). AI SHARE: Addressing Challenges in AI Public Opinion Research. Annual Meeting of the American Political Science Association, Boston, MA.
  6. Walker, C., Birrer, A., Wack, M., Schiff, K. J., & Schiff, D. S. (2026, September 3). Beyond Deception: A Functional Typology of Political Deepfakes. Annual Meeting of the American Political Science Association, Boston, MA.
  7. Sistek, H., Peladeau, N., & Schiff, D. S. (2026, September 3). Comparing Methods to Analyze Open-Ended Responses on Disinformation. Annual Meeting of the American Political Science Association, Boston, MA.
  8. Patil, I., & Schiff, D. S. (2026, September 2). Civic Capacity or Technical Competence: Can AI Literacy Democratize AI Agenda-Setting? APSA Pre-Conference: The Politics of AI, Northeastern University, Boston, MA.
  9. Walker, C. P., Bueno, N. S., Schiff, D. S., Schiff, K. J., & Messina, J. P. (2026, September 2). Watered Down Watermarks? Assessing the Effectiveness of Labeling Deepfakes. APSA Pre-Conference: The Politics of AI, Northeastern University, Boston, MA.
  10. Schiff, K. J., Schiff, D. S., & Chen, Y.-C. (2026, June 2). AI Governance, Ethics, and Public Values. dg.o 2026: 27th Annual International Conference on Digital Government Research, Omaha, NE.
  11. Walker, C., Birrer, A., Wack, M., Schiff, K. J., Schiff, D. S., & Messina, J. P. (2026, April 25). Beyond Deception: A Functional Typology of Political Deepfakes. Midwest Political Science Association Annual Meeting, Chicago, IL.
  12. Patil, I., Ahn, C., Schiff, K. J., Schiff, D. S., Peskowitz, Z., Lu, Y., & Liu, Y. (2026, April 24). Addressing Challenges in AI Public Opinion Research: Introducing the AI SHARE Database. Midwest Political Science Association Annual Meeting, Chicago, IL.
  13. Chung, C. H., & Schiff, D. S. (2026, April 24). From Ethics to Policy: Translating AI Ethical Guidelines into Governance Frameworks in Northeast Asia. Midwest Political Science Association Annual Meeting, Chicago, IL.
  14. Ha, H., & Schiff, D. S. (2026, April 23). Mapping the Rise of Bureaucratic AI Governance: Political Ideology, Institutional Capacity, and Policy Implications in U.S. Rulemaking. Midwest Political Science Association Annual Meeting, Chicago, IL.
  15. Wilhelm, A., Schiff, D. S., Girard, T., & Schiff, K. J. (2026, April 23). The Influence of Information and Audits on the Public’s Perception of AI. Midwest Political Science Association Annual Meeting, Chicago, IL.
  16. Patil, I., & Schiff, D. S. (2026, April 23). Translating AI Literacy into Public Participation in AI Policy: Evidence from a Survey Experiment in the United States. Midwest Political Science Association Annual Meeting, Chicago, IL.
  17. Chung, C. H., & Schiff, D. S. (2026, February 25). AI and the Social Contract. Second Annual Conference of the International Association for Safe and Ethical AI (IASEAI’26), Paris, France.
  18. Patil, I., & Schiff, D. S. (2026, February 17). Translating AI Literacy into Public Participation in AI Policy: Evidence from a Survey Experiment in the United States. Participatory AI Research and Practice Symposium 2026 Online Global Conference, Virtual.
  19. Chung, C. H., & Schiff, D. S. (2025, November 13). Governing AI: Legislative Preferences and Challenges in Korea’s National Assembly. 2025 APPAM Fall Research Conference, Seattle, WA.
  20. Schiff, D. S., Schiff, K. J., Wilhelm, A., & Girard, T. (2025, November 13). The Influence of Information and Audits on the Public’s Perception of AI. 2025 APPAM Fall Research Conference, Seattle, WA.
  21. Walker, C., Bueno, N. S., Schiff, D. S., Schiff, K. J., & Messina, J. P. (2025, November 13). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. 2025 APPAM Fall Research Conference, Seattle, WA.
  22. Patil, I., & Schiff, D. S. (2025, September 14). Translating AI Literacy into Public Participation in AI Policy. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  23. Walker, C., Bueno, N. S., Schiff, D. S., & Schiff, K. J. (2025, September 14). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  24. Chung, C. H., Schiff, D. S., & Kim, M. H. (2025, September 13). Governing AI: Legislative Preferences and Challenges in Korea’s National Assembly. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  25. Schiff, K. J., Schiff, D. S., Dietrich, B., Walker, C., & Chung, C. H. (2025, September 12). The Impact of Generative AI on Political Outreach: Insights from Two Experiments. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  26. Robinson, C., Schiff, K. J., Schiff, D. S., McCrain, J., & Adams, I. (2025, September 11). Civilian Oversight and Artificial Intelligence in US Local Law Enforcement. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  27. Wilhelm, A., Schiff, D. S., Schiff, K. J., & Girard, T. (2025, September 11). The Influence of Ethics Commitments and Audits on Public Trust in AI. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  28. Ahn, C., Schiff, D. S., Jackson Schiff, K., Lu, Y., Liu, Y., Patil, I., Dreksler, N., Peskowitz, Z., & Law, H. (2025, May 22). Value Alignment Starts with Listening: Mapping Public Attitudes to Inform AI Policy and Systems. Values-in-the-Loop Workshop, Carnegie Mellon University, Pittsburgh, PA.
  29. Schiff, K. J., McCrain, J., Schiff, D. S., Moy, B. J., Adams, I. T., & Mourtgos, S. M. (2025, April 6). Do Civilian Review Boards Impact the Perceived Legitimacy of Police Investigations? Midwest Political Science Association Annual Meeting, Chicago, IL.
  30. Enwereazu, O., Patil, I., Schiff, D. S., & Schiff, K. J. (2025, April 4). AI in Defense: U.S. Legislative Approaches to Autonomous Weapons and National Security. Midwest Political Science Association Annual Meeting, Chicago, IL.
  31. Wilhelm, A., Schiff, D. S., Girard, T., & Schiff, K. J. (2025, April 4). Certifying Trust: The Influence of Ethics Commitments and Audits on Public Trust in AI. Midwest Political Science Association Annual Meeting, Chicago, IL.
  32. Chung, C. H., Kim, M. H., & Schiff, D. S. (2025, April 4). How Should AI Be Governed? A Conjoint Experiment on Legislative Preferences in South Korea’s National Assembly. Midwest Political Science Association Annual Meeting, Chicago, IL.
  33. Patil, I., & Schiff, D. S. (2025, April 4). Mapping Beliefs and Resources: Insights on Stakeholder Power in AI Policy. Midwest Political Science Association Annual Meeting, Chicago, IL.
  34. Schiff, D. S., Kelley, S., Schiff, K. J., McCrain, J., & Adams, I. T. (2025, April 4). Vetting the AI that Vets Us: Ethical Trade-offs in HR Professionals’ AI Procurement Decisions. Midwest Political Science Association Annual Meeting, Chicago, IL.
  35. Walker, C. P., Bueno, N. S., Schiff, D. S., Schiff, K. J., & Messina, J. P. (2025, April 4). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. Midwest Political Science Association Annual Meeting, Chicago, IL.
  36. Enwereazu, O., Schiff, K. J., Schiff, D. S., Girard, T., & Wilhelm, A. (2024, December 13). A Public Values Framework for AI Governance: Evidence from US Federal AI Policymaking. Public Administration Symposium: Ethical, Responsible, and Value-Oriented Use of Artificial Intelligence in Public Organizations, Virtual.
  37. Enwereazu, O., Schiff, K. J., & Schiff, D. S. (2024, November 23). Artificial Intelligence Policymaking at the US National Level: Analyzing Trends from a Novel, Comprehensive Resource of Policy Instruments. 2024 APPAM Fall Research Conference, National Harbor, MD.
  38. Schiff, D. S., Schiff, K. J., Kelley, S., McCrain, J., & Adams, I. (2024, November 21). Ethical Considerations for AI in Human Resource Management. 2024 APPAM Fall Research Conference, National Harbor, MD.
  39. Nazareno, L., Schiff, D. S., & Amuzu, V. (2024, November 21). The Future of Work in the AI Era: Contrasting Methodologies to Anticipate Impacts. 2024 APPAM Fall Research Conference, National Harbor, MD.
  40. Schiff, D. S., Schiff, K. J., Kelley, S., McCrain, J., & Adams, I. (2024, September 7). Ethical Considerations for AI in Local Government Human Resource Management. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  41. Walker, C. P., Schiff, D. S., & Schiff, K. J. (2024, September 7). The Political Deepfakes Incidents Database. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  42. Patil, I., & Schiff, D. S. (2024, September 6). AI, Policy, and Power. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  43. Dietrich, B., Schiff, K. J., & Schiff, D. S. (2024, September 6). The Second Order Effects of LLMs and Generative AI on Political Communication. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  44. Schiff, D. S., Schiff, K. J., Girard, T., & Wilhelm, A. (2024, September 5). Certifying Trust: The Influence of Ethics Audits on Public Trust in AI. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  45. McCrain, J., Schiff, K. J., Schiff, D. S., & Adams, I. (2024, September 5). Experimental Evidence for Accountability and Legitimacy in Policing. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  46. Chung, C., & Schiff, D. S. (2024, April 6). Justice in the Algorithmic Age: Renegotiating the Social Contract in the Era of AI. Midwest Political Science Association, Chicago, IL.
  47. Chung, C., & Schiff, D. S. (2024, April 5). Bridging the East-West Divide in Technology Governance: Examining AI Ethics and Policy Through an Asian Lens. Midwest Political Science Association, Chicago, IL.
  48. Schiff, D. S., Kelley, S., Schiff, K. J., McCrain, J., & Adams, I. (2024, April 5). Ethical Considerations for AI in Local Government Human Resource Management. Midwest Political Science Association, Chicago, IL.
  49. Patil, I., & Schiff, D. S. (2024, April 4). AI, Policy, & Power. Midwest Political Science Association, Chicago, IL.
  50. Walker, C. P., Schiff, D. S., & Schiff, K. J. (2024, April 4). Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database. Midwest Political Science Association, Chicago, IL.
  51. Patil, I., & Schiff, D. S. (2024, April 4). Operationalizing Ethics in AI Ethics Auditing: Drivers and Challenges. Midwest Political Science Association, Chicago, IL.
  52. Chung, C., & Schiff, D. S. (2024, March 29). Bridging the East-West Divide in Technology Governance: Examining AI Ethics and Policy Through an Asian Lens. Annual Conference of the Association for Practical and Professional Ethics, Virtual.
  53. Schiff, K. J., Schiff, D. S., & Dietrich, B. (2024, March 7). The Second Order Effects of LLMs and Generative AI on Political Communication. Conference on AI and Society: Government, Policy, and the Law, Truman School of Government and Public Affairs and Law School, Columbia, MO.
  54. Patil, I., & Schiff, D. S. (2024, February 24). Operationalizing Ethics in AI Ethics Auditing: Drivers and Challenges. Annual Conference of the Association for Practical and Professional Ethics, Cincinnati, OH.
  55. Patil, I., & Schiff, D. S. (2024, February 23). AI, Policy, & Power. Annual Conference of the Association for Practical and Professional Ethics, Cincinnati, OH.
  56. Walker, C. P., Schiff, D. S., & Schiff, K. J. (2024, February 23). Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database. 2024 AAAI Innovative Applications of Artificial Intelligence, Vancouver, BC, Canada.
  57. Schiff, D. S., Schiff, K. J., Kelley, S., McCrain, J., & Adams, I. (2023, November 9). Ethical Considerations for AI in Local Government Human Resource Management. 2023 APPAM Fall Research Conference, Atlanta, GA.
  58. Schiff, D. S., & Lee, J. (2022, November 19). Influences and Inhibitors in Undergraduate Social Responsibility Development: Evidence from a Mixed-Methods Longitudinal Study. 2022 APPAM Fall Research Conference, Washington, D.C.
  59. Schiff, D. S., & Schiff, K. J. (2022, September 17). Reason and Passion in Agenda-Setting: Experimental Evidence on State Legislator Engagement with AI Policy. Annual Meeting of the American Political Science Association, Montréal, QC, Canada.
  60. Schiff, D. S. (2022, July 30). Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies. International Conference on Artificial Intelligence in Education, International AIED Society, Virtual.
  61. Schiff, D. S., & Schiff, K. J. (2022, April 7). Does Reason or Passion Drive Agenda-Setting for AI Policy? Evidence from a Field Experiment. 79th Annual Conference of the Midwest Political Science Association, Chicago, IL.
  62. Schiff, D. S. (2022, April 7). Setting the Agenda for Artificial Intelligence Policy: Issue Frames in Public and Policy Discourse. 79th Annual Conference of the Midwest Political Science Association, Chicago, IL.
  63. Schiff, D. S., & Lee, J. (2022, February 25). Influences and Inhibitors in Undergraduate Social Responsibility Development: Evidence from a Mixed-Methods Longitudinal Study. Annual Conference of the Association for Practical and Professional Ethics, Virtual.
  64. Schiff, D. S., Schiff, K. J., & Bueno, N. S. (2021, October 1). The Liar’s Dividend: How Misinformation About Misinformation Pays Off. Annual Meeting of the American Political Science Association, Virtual.
  65. Schiff, D. S., & Schiff, K. J. (2021, July 21). Reason and Passion in Agenda-Setting: Influence Dynamics in AI Policy. Elites & Experiments Conference, Virtual.
  66. Schiff, D. S., Lee, J., Borenstein, J., & Zegura, E. (2021). Does Community Engagement in College Shape Social Responsibility Attitudes? Evidence from a Longitudinal Study. Annual Conference of the Association for Practical and Professional Ethics, Virtual.
  67. Schiff, D. S., Schiff, K. J., & Bueno, N. S. (2020, November 12). The Liar’s Dividend: How Misinformation About Misinformation Affects Politician Support and Trust in Media. 2020 APPAM Fall Research Conference, Virtual.
  68. Schiff, D. S. (2020, October 13). IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence. IEEE International Systems, Man, and Cybernetics Conference, Virtual.
  69. Schiff, D. S., Rakova, B., Ayesh, A., Fanti, A., & Lennon, M. (2020, September 7). Principles to Practices for Responsible AI: Closing the Gap. European Conference on AI, Workshop on AI for Equity, Virtual.
  70. Schiff, D. S., Schiff, K. J., & Pierson, P. (2020, June 11). How Issues of Bias, Transparency, and Agency Affect Citizen Support for AI in Government Services. Conference of the American Association for Public Opinion Research, Virtual.
  71. Schiff, K. J., & Schiff, D. S. (2020, April 24). The Liar’s Dividend: The Impact of Deepfakes and Fake News on Politician Support and Trust in Media. Harvard Experimental PolSci Conference, Virtual.
  72. Schiff, D. S., Biddle, J., Borenstein, J., & Laas, K. (2020, February 9). What’s Next for AI Ethics, Policy, and Governance? A Global Overview. AAAI/ACM Conference on AI, Ethics, and Society, New York, NY.
  73. Schiff, D. S., Schiff, K. J., & Pierson, P. (2020, January 9). How Issues of Bias, Transparency, and Agency Affect Citizen Support for AI in Government Services. Conference of the Southern Political Science Association, San Juan, PR.
  74. Schiff, D. S., & Joyner, D. (2019, October 4). Designing Technology for Online Adult Education. Panel session at American Psychological Association, Technology, Mind, & Society Conference, Washington, D.C.
  75. Schiff, D. S. (2019, January 25). Out of the Laboratory and Into the Classroom: The Future of Artificial Intelligence in Education. Ivan Allen Conference, Georgia Institute of Technology, Atlanta, GA.
  76. Schiff, D. S., Herzog, L., & Farley-Ripple, E. (2015, April 19). Teacher networks in Philadelphia: Landscape, engagement, and value. American Educational Research Association, Chicago, IL.
  77. Schiff, D. S. (2015, February 28). Teacher networks in Philadelphia: The current landscape. Presentation at Grow in Greater Philly, Philadelphia, PA.

Poster Presentations

  • Chung, C. H., & Schiff, D. S. (2026, October 12). The Politics of AI Ethics: How Normative Principles Translate into Law and Policy in South Korea [Poster presentation]. AAAI/ACM Conference on AI, Ethics, and Society (AIES 2026), Malmö, Sweden.
  • Patil, I., & Schiff, D. S. (2025, April 4). Translating AI Literacy into Public Participation in AI Policy: Evidence from a Survey Experiment in the United States [Poster presentation]. Midwest Political Science Association Annual Meeting, Chicago, IL.
  • Ahn, C., Schiff, K. J., Schiff, D. S., Peskowitz, Z., Lu, Y., & Liu, Y. (2024, September 13). Addressing Challenges in AI Public Opinion Research: Introducing the AI SHARE Database [Poster presentation]. Navigating the New Frontier: The Political and Economic Implications of AI. California Institute of Technology, Pasadena, CA.
  • Barkhuff, G., Borenstein, J., Schiff, D. S., Uchidiuno, J., & Zegura, E. (2024, March 21). Considerations for Improving Comprehensive Undergraduate Computing Ethics Education [Poster presentation]. ACM SIGCSE, Portland, OR.
  • Wiese, L., Schiff, D. S., & Magana, A. (2023, May 18). Being Proactive for Responsible AI: Analyzing Multiple Sectors for Innovation via Systematic Literature Review [Poster presentation]. IEEE ETHICS-2023, Purdue University, West Lafayette, IN.
  • Schiff, D. S., Laas, K., Borenstein, J., & Biddle, J. (2020, January 27). What’s Next for AI Ethics, Policy, and Governance? A Global Overview [Poster presentation]. CRIDC Conference, Georgia Institute of Technology, Atlanta, GA.
  • Schiff, D. S., & Nazareno, L. (2019, November 7). How Automation and AI Affect Worker Well-Being: Looking Beyond Displacement and Wages [Poster presentation]. 2019 APPAM Fall Research Conference, Denver, CO.
  • Schiff, D. S., & Nazareno, L. (2019, October 14). Beyond Labor Displacement: The Impact of Automation and AI on Worker Well-being [Poster presentation]. Atlanta Conference on Science and Technology Policy, Atlanta, GA.
  • Ganz, S., & Schiff, D. S. (2018, October 26). Identifying Political Coalitions in the Baseball Writers Association: An agony-based approach [Poster presentation]. CRIDC Conference, Georgia Institute of Technology, Atlanta, GA.
  • Herzog, L., & Schiff, D. S. (2014, April 8). Teacher networks in Philadelphia: The current landscape [Poster presentation]. Mid-Atlantic Regional Educational Laboratory Research, Policy and Practice Conference, Philadelphia, PA.
  • Schlesinger, K., Schiff, D. S., & Robertson-Kraft, C. (2014, April 6). Design and implementation of a Student Growth Objective system for educators in non-core subjects [Poster presentation]. American Educational Research Association, Philadelphia, PA.

Invited Talks, Panels, and Public Engagement

  1. Kaul, V., & Schiff, D. S. (2026). Data center expansion and the AI backlash. Guest speaker, The Science of Politics Podcast, Niskanen Center, Virtual.
  2. Adams, I. T., Marasović, A., Schiff, D. S., & Schiff, K. J. (2026). Roundtable on AI in Policy and Society. Invited panelist for Hinckley Institute of Politics Forum, University of Utah, Salt Lake City, UT.
  3. Schiff, D. S. (2026). Can Markets Make Responsible AI Pay? Audits, Signals, and Consumer Trust. Invited speaker for Cornerstone for Business Conference, Daniels School of Business, Purdue University, West Lafayette, IN.
  4. Blane, A., Caputo, N., Kane, A., Rojas, F., Schiff, D. S., & Tabassi, E. (2026). Moderator for Needs for Science-Informed AI Policy and Standards. Building the Path from AI Safety Science to AI Governance Workshop, Center for Security and Emerging Technology (CSET), Georgetown University, Washington, D.C.
  5. Schiff, D. S. (2026). Does Responsible AI Pay? How Ethics Commitments Build Public Trust. Invited keynote speaker for Quello Center Talk, Quello Center and Center for Ethical and Socially Responsible Leadership, Michigan State University, East Lansing, MI.
  6. Schiff, D. S. (2026). AI Governance Under Pressure: Who Keeps AI in Check as It Races Ahead? Invited speaker for Seminar for visiting Korean undergraduate students, Center of Operation and Research for Industry Advancement (CORIA), Purdue University, West Lafayette, IN.
  7. Denebeim, M., Jones, K. J., O’Shea, K. J., & Schiff, D. S. (2026). AI Leadership in Education. Invited panelist for Kaltura Connect Education Conference, Indianapolis, IN.
  8. Schiff, D. S. (2026). Deepfakes and AI-driven disinformation. Facilitator and presenter for Towards a Community of Practice: Responding to Intimidation of Public Officials, Inter-Parliamentary Union, Geneva, Switzerland.
  9. Schiff, D. S. (2026). Moderator for AI Integration and Utilization: HRM, CAIO Leadership, and Trust across Diverse Contexts—The U.S. Midwest, Texas, and South Korea (SAIL-Gov II). dg.o 2026: 27th Annual International Conference on Digital Government Research, Omaha, NE.
  10. Schiff, D. S. (2026). Turn off that chatbot! Conjectures on adapting to AI in the classroom. Invited speaker for AI for All: Practical and Accessible AI for Research and Education, Indianapolis, IN.
  11. Schiff, D. S. (2026). AI Governance Under Pressure: Fragmentation, Power, and the Race to Keep Up. Invited guest lecturer for AI Governance / AI Ethics and Society Seminar, Chair of Cyber Trust, Technical University of Munich, Virtual.
  12. Olthoff, J., Schiff, D. S., Stevenson, S., & Woolley, S. C. (2026). Deepfakes and the Battle for Authentic Information. Organizer and moderator, First Annual Summit on Information, Technology, and American Democracy, Indianapolis, IN.
  13. Mendon-Plasek, A., Schiff, K. J., Argyle, L., & Schiff, D. S. (2026). Human Interaction, Trust, and Deception in AI. Moderator and organizer, Purdue AI Research Showcase, Institute for Physical Artificial Intelligence and Rosen Center for Advanced Computing, Purdue University, West Lafayette, IN.
  14. Schiff, D. S. (2026). Critical AI and Policy. Invited speaker for AI-Informed Writing Classroom Colloquium Series, Arizona State University, Department of English, Virtual.
  15. Schiff, D. S. (2026). AI Policy, Privacy & the Law. Guest lecturer for Science, Technology & Society (HONR 313), John Martinson Honors College, Purdue University, West Lafayette, IN.
  16. Schiff, D. S. (2026). National Security Panel. Invited panelist for 55th Frank Church Symposium, International Affairs Council, Idaho State University, Virtual.
  17. Schiff, D. S., Patil, I., Liu, Y., Schiff, K. J., Lu, Y., Ahn, C., Peskowitz, Z., Law, H., & Dreksler, N. (2026). AI SHARE: Building a Public Infrastructure for AI Attitudes Research. 2025-2026 CLARA Awardees Showcase, College of Liberal Arts, Purdue University, HSSE Library (Stewart Center), Chris & Michelle White Cornerstone Reading Room, West Lafayette, IN.
  18. Schiff, D. S. (2026). Open Problems in Frontier AI Risk Management. Invited speaker for Workshop at the Second Annual Conference of the International Association for Safe and Ethical Artificial Intelligence (IASEAI’26), Oxford Martin Artificial Intelligence Governance Initiative, UNESCO Headquarters, Paris, France.
  19. Yang, Y. L., Inouye, D. I., Schiff, D. S., Rayz, J. M., Akdere, M., & Lee, A. (2026). Bowls N’ Bots: AI Literacy Expert Panelist Q&A Event. Invited panelist, Purdue Science Student Council, Building Your Technical Expertise in Science, Purdue University, West Lafayette, IN.
  20. Schiff, D. S. (2025). AI and the Next Chapter of Humanity: A Conversation with Dr. Daniel S. Schiff. Guest speaker, The Internet is Crack Podcast, Virtual.
  21. Schiff, D. S. (2025). Debates, Dilemmas, and Decisions in AI Policy. Invited guest lecturer for AI & Society, John Martinson Honors College, Purdue University, West Lafayette, IN.
  22. Schiff, D. S., Lim, S., Messina, J. P., & Yeomans, C. L. (2025). AI and the Public Trust Paradox. Invited panelist for Pizza and Politics, Center for C-SPAN Scholarship and Engagement, Purdue University, West Lafayette, IN.
  23. Schiff, D. S., Loewen, P. J., Agnolin, P., Albrecht, E., Himmelreich, J., & Jones, J. J. (2025). Algorithmic Reality & Policy Directions. Invited participant in roundtable discussion, Symposium on Rewiring Democracy for Algorithmic Realities, Institution for Social and Policy Studies, Yale University, New Haven, CT.
  24. Schiff, D. S. (2025). Vetting the AI that Vets Us: Ethical Trade-offs in Public and Private Sector AI Adoption Decisions. Invited speaker for Technology & Society: Historical Roots & Trajectories, Symposium on Rewiring Democracy for Algorithmic Realities, Institution for Social and Policy Studies, Yale University, New Haven, CT.
  25. Schiff, D. S., & Schiff, K. J. (2025). Deepfakes, Misinformation, and the Future of Digital Trust. Invited speaker for President’s Council Back to Class 2025, Purdue for Life Foundation, Purdue University, West Lafayette, IN.
  26. Schiff, D. S. (2025). Contested Terrain: Emerging Trends in AI Policy and Governance. Invited speaker, Purdue Online MS in AI, West Lafayette, IN.
  27. Schiff, D. S. (2025). Muddling Through Ethical, Pedagogical, and Institutional Challenges of AI in Education. Invited speaker, Opus College of Engineering, Marquette University, Virtual.
  28. Schiff, D. S., Laestadius, L. I., Shackelford, S. J., Rheu, M., Syed, A., Yost, J., Chaku, N., Rodwell, L., Gilbert, T. K., Chen, Y., & London, A. J. (2025). Regulating AI Companions: Impacts on Children and Teens. Invited panelist, Academic Alliance for AI Policy and Public Citizen, Virtual.
  29. Schiff, D. S., Anderson, B., & Davis, J. (2025). Moderator for Use Cases for State and Local Government. Peer-to-Peer Conversation Series, Societal Experts Action Network, National Academies of Sciences, Engineering, and Medicine, Virtual.
  30. Schiff, D. S., Goldman, E., Nkonde, M., Nagawa, M., Caroli, L., & Weil, G. (2025). AI in Public Policy: Balancing Innovation, Regulation, and Public Trust. Invited moderator and panelist for World Salon Digital Fireside Series, Columbia University, Virtual.
  31. Schiff, D. S. (2025). AI Governance for Regulatory Boards: Foundations and Challenges. Invited keynote speaker, Federation of Associations of Regulatory Boards, Virtual.
  32. Schiff, D. S. (2025). Teaching for Tomorrow: AI Dilemmas and Opportunities in Vocational Education. Invited keynote speaker for International Online Forum on Digital Transformation in Vocational Education, SKLAD and International Academy of Pedagogy Foundation, Virtual.
  33. Schiff, D. S. (2025). AI Governance Unpacked: Key Debates, Dilemmas, and What Comes Next? Invited guest lecturer for ME 492: Technology and Values, School of Mechanical Engineering, Purdue University, West Lafayette, IN.
  34. Schiff, D. S., Schiff, K. J., Wilhelm, A., & Girard, T. (2025). Certifying Trust: The Influence of Ethics Commitments and Audits on Public Trust in AI. Invited speaker for AI and Democratic Governance: Challenges, Oversight, and Potential, Institution for Social and Policy Studies, Yale University, New Haven, CT.
  35. Schiff, D. S. (2025). Privacy, Law & Regulation. Guest lecturer for Learning at Purdue in the Era of AI, John Martinson Honors College, Purdue University, West Lafayette, IN.
  36. Schiff, D. S. (2025). Digital Transformation in Health: A Primer on AI Governance and Ethics. Invited keynote speaker for Leading Digital Transformation in Health and Care for Scotland, NHS Education for Scotland, Virtual.
  37. Schiff, D. S. (2025). Teaching Machines to Teach: Balancing AI Innovation and Responsibility in Education. Invited keynote speaker, Kaltura, Virtual.
  38. Schiff, D. S. (2025). Public Service in the Age of Artificial Intelligence. Invited panelist, Center for Excellence and Research in Public Service, School of Public Affairs and Administration, Western Michigan University, Kalamazoo, MI.
  39. Schiff, D. S. (2025). Do You Know Where Your Children Are? Deepfakes in the Classroom. Invited speaker for Problematizing Education & Digital Technology, Critical Studies of Education & Technology (CSET 2025), Tippecanoe County Public Library, West Lafayette, IN.
  40. Schiff, D. S., Katsanevas, A., Young, M., Zhang, B., & Aaronson, S. A. (2025). Who Participates in Participatory AI and How Can We Make AI More Participatory? Invited panelist for TrailsCon 2025, Institute for Trustworthy AI in Law and Society, George Washington University, Washington, D.C.
  41. Sheehan, M., Schiff, D. S., Narayanan, M., & Arnold, Z. (2024). What’s Next in AI Governance? Looking Ahead to 2025. Invited panelist, Center for Security and Emerging Technology (CSET), Georgetown University, Virtual.
  42. Cotterill, T., Sullivan, M., Whitenack, D., & Schiff, D. S. (2024). Panel on AI Ethics, Privacy, and Policy. Moderator and organizer, Google-Purdue Conference on the AI Imperative: Uniting Education, Business and Government, Indianapolis, IN.
  43. Schiff, D. S., & Schiff, K. J. (2024). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. Invited speaker for Technology Landscape Seminar, Daniels School of Business, Purdue University, West Lafayette, IN.
  44. Schiff, D. S. (2024). AI Governance: Are We Rising to the Challenge? Invited keynote speaker for Transitioning from Digital Transformation (DX) to the Age of AI (AX): The Role of Humanity in this New Era, Korea Research Institute for Vocational Education and Training, Korea Ministry of Education, and The Korea Economic Daily, Seoul, South Korea.
  45. Bode, L., Costello, T., Wirtschafter, V., & Schiff, D. S. (2024). The Digital Deception Landscape: Academic Insights on Misinformation and Deepfakes. Moderator and organizer, Academic Alliance for AI Policy, Virtual.
  46. Schiff, D. S. (2024). Debates, Dilemmas, and Decisions in the Regulatory Landscape. Invited keynote speaker for 14th Annual Midwest Medical Humanities Conference: AI in Medicine, Virtual.
  47. Schiff, D. S. (2024). Dilemmas in the AI-Enabled Classroom: Early Conjectures on Pedagogy, Ethics, & Transformation. Invited keynote speaker for Navigating the New Frontier: Generative AI and Academic Integrity, Mary Immaculate College, University of Limerick, Technological University of the Shannon, and National Academic Integrity Network, Virtual.
  48. Schiff, D. S. (2024). Governing AI in Healthcare: Debates, Dilemmas, and Decisions in the Regulatory Landscape. Invited keynote speaker for International Medical Informatics Association (IMIA) series of Healthy AI: Standards, Interoperability, Ethics, Virtual.
  49. Schiff, D. S., & Schiff, K. J. (2024). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. Invited speaker for Navigating the New Frontier: The Political and Economic Implications of AI, California Institute of Technology, Pasadena, CA.
  50. Schiff, D. S. (2024). Ethical Risks of Generative AI in Education. LearnTech Podcast, Virtual.
  51. Schiff, D. S. (2024). Looking Through a Policy Window with Tinted Glasses: Agenda-Setting Dynamics in U.S. AI Policy. Invited speaker for Center for Intelligent Society and Policy (CISP) Global Symposium on AI, DX, Governance, and Ethics, Seoul National University, Seoul, South Korea.
  52. Schiff, D. S. (2024). The Politics of AI: Will Bipartisanship Last or Is Polarization Inevitable? Invited speaker for Symposium on AI & Algorithms in Government, Institution for Social and Policy Studies, Yale University, New Haven, CT.
  53. Schiff, D. S. (2024). Looking Through a Policy Window with Tinted Glasses: Agenda-Setting Dynamics in U.S. AI Policy. Invited keynote speaker, Center for the Study of Ethics in Society, Western Michigan University, Kalamazoo, MI.
  54. Schiff, D. S. (2024). The rise of deepfakes: Moving toward multi-layered governance. Guest lecturer for AI Ethics and Society course, Western Michigan University, Kalamazoo, MI.
  55. Schiff, D. S. (2024). Education for AI, not AI for Education: AI, Education, and Ethics in National AI Policy Strategies. Guest lecturer for AI in STEM Education course, West Lafayette, IN.
  56. Schiff, D. S. (2024). AI Tools in Graduate Teaching, Education, and Research. Presenter, Department of Political Science Graduate Student Association, Purdue University, West Lafayette, IN.
  57. Schiff, D. S. (2024). What to Know About Academic Citizenship. Panelist, Department of Political Science Graduate Student Association, West Lafayette, IN.
  58. Schiff, D. S. (2024). The Rise of AI-Powered Politics. Invited speaker, Center for C-SPAN Scholarship and Engagement, West Lafayette, IN.
  59. Schiff, D. S. (2024). The Politics of AI: Will Bipartisanship Last or Is Polarization Inevitable? Invited speaker for Conference on AI and Society: Government, Policy, and the Law, Truman School of Government and Public Affairs and MU Law School, Columbia, MO.
  60. Schiff, D. S. (2023). AI and Governance. ML @ Purdue Speaker Series, ML @ Purdue (student organization), West Lafayette, IN.
  61. Schiff, D. S. (2023). The rise of deepfakes: Moving toward multi-layered governance. Invited speaker for Google and CMU AI Symposium, Washington, D.C.
  62. Schiff, D. S. (2023). Looking through a policy window with tinted glasses: Agenda-setting dynamics in U.S. AI policy. Invited speaker, CLSAC 2023, Annapolis, MD.
  63. Schiff, D. S. (2023). What Can We Learn from Research and Discourse on Deepfakes? Lessons for Responsible Use of Synthetic Data. Invited speaker for Towards Responsible Biomedical AI Symposium, Penn State University (Rock Ethics Institute), State College, PA.
  64. Schiff, D. S. (2023). The AI 2023 Show. Invited speaker, FinTech4Good, Virtual.
  65. Schiff, D. S. (2023). Implications of AI for Research Ethics. Presentation to Purdue University IRB, West Lafayette, IN.
  66. Schiff, D. S. (2023). Where do we stand with AI policy? Debates, dilemmas, and decisions. Invited keynote speaker for 2023 ACM SIGKDD: AI for Open Society, Long Beach, CA.
  67. Schiff, D. S. (2023). Issues in AI and economic development: labor, human resources, and education. Presentation to Crawfordsville Economic Development Forum, Crawfordsville, IN.
  68. Schiff, D. S. (2023). Responsible AI in consumer insights. Invited speaker for Insight Extravaganza 2023, Virtual.
  69. Schiff, D. S. (2023). Careers in Technology Ethics. Panelist, IEEE ETHICS-2023, Purdue University, West Lafayette, IN.
  70. Schiff, D. S. (2023). Perspectives from Liberal Arts on the Practical Turn in AI Ethics. Organizer and moderator, IEEE ETHICS-2023, Purdue University, West Lafayette, IN.
  71. Schiff, D. S. (2023). How will AI impact worker well-being? Beyond harmful substitution and beneficial complementarity. Invited speaker for 2023 IEEE ETHICS Workshop on Norbert Wiener in the 21st Century: The Future of Work in the Age of Automation, Purdue University, West Lafayette, IN.
  72. Schiff, D. S., & Schiff, K. J. (2023). Teaching in the Age of Generative AI: Resisting, Adapting, or Embracing? Presentation to Purdue System-Wide Virtual Forum on AI, Teaching & Learning Community of Practice, and Cornerstone Program, Purdue University, West Lafayette, IN.
  73. Schiff, D. S. (2022). AI Ethics and Governance: Emerging Questions and Career Pathways. Invited speaker, Duke University, Science & Society, Durham, NC.
  74. Schiff, D. S. (2022). Can We Standardize AI Ethics? Insights from IEEE 7010-2020 and US-EU AI Governance Efforts. Invited keynote speaker, Congreso Internacional en Normalización, Estándares y Calidad Universitaria (CINECU), Virtual.
  75. Schiff, D. S. (2022). Policy, ethics, social science careers in AI. Invited speaker, AI4ALL, Columbia University, New York, NY.
  76. Schiff, D. S. (2021). The Impact of Artificial Intelligence/Robots on Education. Invited panelist for Global Conference on Education and Research, University of South Florida, Virtual.
  77. Schiff, D. S. (2021). Applying the IEEE 7010-2020 Standard. Invited speaker, AAAS Annual Meeting, American Association for the Advancement of Science, Virtual.
  78. Schiff, D. S. (2021). Impact of Autonomous and Intelligent Systems on Well-being. Invited speaker for ACM CHI Workshop on Digital Well-being (EAD), Virtual.
  79. Schiff, D. S. (2020). AI Ethics and Policy: America’s Place in Global AI Governance. Invited keynote speaker at Foreign Policy Association, Great Decisions series, Atlanta, GA.
  80. Schiff, D. S., & Topor, L. (2020). Politics, Big Data, and New Technology: The State of the Field. Panelist at Southern Political Science Association, San Juan, PR.
  81. Schiff, D. S. (2019). Preparing Georgia Stakeholders for the AI Revolution. Presentation to Science, Technology, and Innovation Policy (STIP) Program, Georgia Tech Enterprise Innovation Institute, Atlanta, GA.
  82. Schiff, D. S. (2016). Philadelphia education funding or the lack thereof. Invited keynote speaker to Repair the World, Philadelphia, PA.

Professional Affiliations and Leadership

  • Leadership:
  • Founding Co-Director, Governance and Responsible AI Lab (GRAIL)
  • Founding Co-Chair, AI Community of the Association for Public Policy Analysis and Management (APPAM)
  • Steering Committee Member, Purdue Institute for Physical AI (IPAI)
  • Founding Steering Committee Member, Academic Alliance for AI Policy (AAAIP)
  • Member, Police Accountability and Policy Evaluation Research (PAPER) Lab
  • Affiliate, Tech Justice Lab, Purdue University
  • Expert Advisory Board Member, Fidutam (largest youth-led Tech NGO)
  • Advisory Board Member, AI 2030
  • Director, Forecasting AI Risks and Impacts on the Workplace (FAIRWORK) Interdisciplinary Research Generator, John Martinson Honors College, Purdue University
  • Memberships:
  • American Association for the Advancement of Science (AAAS)
  • American Political Science Association (APSA)
  • Association for the Advancement of Artificial Intelligence (AAAI)
  • Association for Computing Machinery (ACM)
  • Association for Public Policy Analysis and Management (APPAM)
  • Institute of Electrical and Electronics Engineers (IEEE)
  • International Artificial Intelligence in Education Society (IAIED)
  • Midwest Political Science Association (MPSA)

Academic and Professional Service

  • Reviewer:
  • AAAI/ACM Conference on AI, Ethics, & Society (13)
  • ACM Conference on Fairness, Accountability, and Transparency (FAccT) (10)
  • ACM Engage CSEDU (1)
  • ACM Journal of Responsible Computing (1)
  • ACM/SIGAPP Symposium on Applied Computing (SAC) (1)
  • AI and Ethics (4)
  • AI & Society (6)
  • AI for Engineering Design, Analysis and Manufacturing (2)
  • American Journal of Political Science (1)
  • American Medical Association Journal of Ethics (1)
  • American Political Science Review (1)
  • American Psychologist (2)
  • APPAM Fall Research Conference (1)
  • Applied AI Letters (1)
  • Applied Artificial Intelligence (1)
  • Big Data & Society (5)
  • Cambridge University Press (1)
  • Data & Policy (1)
  • dg.o (Conference on Digital Government Research) (3)
  • Digital Society (1)
  • Discover Artificial Intelligence (2)
  • European Conference on Information Systems (1)
  • Francisco Manuel dos Santos Foundation (FFMS) (1)
  • Frontiers in Human Dynamics (1)
  • Global Policy & Governance (1)
  • Government Information Quarterly (1)
  • Handbook of Critical Studies of Artificial Intelligence (2)
  • Handbook of Global AI Governance (1)
  • Handbook of Human-Centered AI (1)
  • Harvard Data Science Review (1)
  • IEEE ETHICS (3)
  • IEEE Transactions on Technology & Society (3)
  • International Conference on AI for People (CAIP) (5)
  • International Journal of Artificial Intelligence in Education (3)
  • International Journal of Community Well-being (1)
  • International Journal of Human-Computer Interaction (1)
  • International Journal of Public Leadership (1)
  • Journal of Artificial Intelligence Research (1)
  • Journal of Business Ethics (3)
  • Journal of Digital Social Research (2)
  • Journal of Educational Data Mining (1)
  • Journal of Engineering Education (1)
  • Journal of Experimental & Theoretical Artificial Intelligence (1)
  • Journal of Politics (3)
  • Journal of Public Administration Research and Theory (4)
  • Mindtrek (1)
  • Minerva (1)
  • NSF Social and Economic Sciences Division (1)
  • NSF Technology, Innovation, and Partnerships Directorate (1)
  • Oxford Intersections: AI in Society (1)
  • Palgrave Macmillan (3)
  • Peter Lang (1)
  • Police Practice and Research (2)
  • Policy and Society (1)
  • Policy Studies Journal (3)
  • Postdigital Science and Education (1)
  • Proceedings of the National Academy of Sciences (2)
  • Public Administration (6)
  • Public Administration Review (8)
  • Public Management Review (2)
  • Purdue Innovation Hub (8)
  • Regulation & Governance (1)
  • Research Policy (2)
  • Review of Educational Research (1)
  • Review of Policy Research (1)
  • Russell Sage Foundation (1)
  • Science and Engineering Ethics (4)
  • Science and Public Policy (1)
  • Singapore Education Research Funding Programme (2)
  • Social Science Computer Review (1)
  • Social Science Research (1)
  • Studies in Higher Education (1)
  • Swiss National Science Foundation (1)
  • Technology in Society (2)
  • Program Committees and Conference Activities:
  • Senior PC, AAAI Conference on Artificial Intelligence, Special Track on AI Alignment (2027)
  • Co-Editor, Proceedings of the Ninth AAAI/ACM Conference on AI, Ethics, and Society (AIES-26), AAAI Press (2026)
  • Program Co-Chair, AAAI/ACM Conference on AI, Ethics, and Society (AIES) (2026)
  • Organizing Committee Member, 3rd Workshop on New Trends in AI-Generated Media and Security (AIMS), CVPR (2026)
  • PC, ACM Conference on Fairness, Accountability, and Transparency (2023, 2025, 2026)
  • Co-Organizer, Politics of AI Workshop (PAW), MPSA (2025, 2026)
  • PC, dg.o (Conference on Digital Government Research) (2025, 2026)
  • Co-Organizer, Open Problems in Frontier AI Risk Management Workshop, Oxford Martin Artificial Intelligence Governance Initiative, International Association for Safe and Ethical Artificial Intelligence (2026)
  • PC, Wharton Accountable AI Research Conference, University of Pennsylvania (2026)
  • PC, AAAI/ACM Conference on AI, Ethics, and Society (2023, 2024, 2025)
  • Co-Organizer, Interdisciplinary Policing Research Workshop (University of Utah, 2024; University of South Carolina, 2025)
  • PC, IEEE-ETHICS (2025)
  • PC, International Association for Safe and Ethical AI Pre-conference for the Paris AI Action Summit (2025)
  • PC, Artificial Intelligence for Education track for 28th ACM/SIGAPP conference (2023)
  • Organizer, Politics of Emerging Technology Mini-Conference (2023)
  • PC, CAIP’21: Towards Sustainable AI (2021)
  • PC, Special Issue on AI for People for AI & Society (2021)
  • Co-Chair, Special Session on Human Well-being in the Context of Autonomous and Intelligent Systems, IEEE International Systems, Man, & Cybernetics Conference (2020)
  • Additional Service Activities:
  • 2025 – Present Institutional Data and AI Ethics Review Board, Purdue University
  • 2016 – Present Young Professionals Council, Field Center for Children’s Policy, Practice & Research, University of Pennsylvania
  • 2026 Committee Member, AI Committee, Policy Council, Association for Public Policy Analysis and Management (APPAM)
  • 2022 Steering Committee Member, NSF Ethical Design of AI Systems (EDAIS) planning workshop
  • 2020 – 2022 Student IRB Member, Georgia Institute of Technology Central IRB
  • 2018 – 2020 Secretary, IEEE 7010-2020: Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-being
  • 2018 – 2019 Member, IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems; Policy and Well-being Committee member for Ethically Aligned Design
  • 2018 – 2019 Co-Chair, Alumni Association, Univ. of Pennsylvania M.S. in Social Policy

Awards and Honors

  • American Political Science Association, Information Technology and Politics Section, Best Public Facing Scholarship Award (2026)
  • National Science Foundation, Training-based Workforce Development for Advanced Cyberinfrastructure (CyberTraining), Pilot: Building Cross-Disciplinary AI Literacy and Skill-Set, 2026-28, Co-PI ($299,897)
  • Purdue University, John Martinson Honors College: Interdisciplinary Research Generator, Forecasting AI Risks and Impacts on the Workplace (FAIRWORK), 2026-28, PI ($35,250)
  • Purdue University, Ross-Lynn Research Scholar Fund Award, 2026 ($36,000)
  • School of Social Policy & Practice (SP2) Hall of Fame Award, MSSP Alumni Association (2026)
  • American Political Science Association, Public Policy Section, Best Paper on Public Policy Award (2025)
  • National Science Foundation, Science of Science, From Prediction to Policy: How AI Labor Research Influences Stakeholder Beliefs and Regulatory Preferences, 2025-27, PI (Purdue Award No. 2524000; with Nazareno, Virginia Commonwealth University, Award No. 2523999) ($210,000)
  • Purdue University, John Martinson Honors College: Research Breakthrough Seed Award, Deepfakes and Digital Harm: Understanding Impacts and Testing Solutions to Safeguard Well-Being, 2025-26, PI ($20,000)
  • Purdue University, OEVPRP/CLA: Review Paper Initiative Award, Predicting the Impacts of Artificial Intelligence on Workers: A Systematic Literature Review, 2025-26, PI ($10,000)
  • Rapoport Family Foundation, Translating AI Literacy into Public Participation in AI Policy, 2025, Co-PI (with GRA Indira Patil) ($5,000)
  • Center for Advancing Safety of Machine Intelligence (CASMI) Inaugural AI Incidents and Best Practices Paper Award (2024)
  • Bankinter Consumer Finance Award in Business Ethics (4th prize) (2024)
  • Purdue Special Employee Recognition Award (2024)
  • Arnold Ventures, LEAD-R: Law Enforcement Administrative Data for Research, 2024-26, Co-PI (with Adams (University of South Carolina), McCrain (University of Utah), Jackson Schiff (Purdue University)) ($184,374)
  • Future of Life Institute, The Political Deepfakes Incidents Database: Tracking Societal Risks and Informing Mitigation Efforts, 2024, PI ($5,000)
  • National Institute of Justice, Policing Leadership and Accountability: Harnessing Big Data and Causal Inference for Evaluating Police Reform Practices, 2024-27, Co-PI ($972,083)
  • Purdue University, College of Liberal Arts: Research Academy Fellowship, AI SHARE (The AI Survey Hub for Attitudes and Research Exchange), 2024-25, PI ($25,000)
  • Purdue University, College of Liberal Arts: Ross-Lynn Postdoctoral Fellowship, Chee Hae Chung, 2024-26, Co-PI (~$175,000)
  • Purdue University, Innovation Hub, Seed funding for Applied Ethics in AI within the Context of Cybersecurity Education, 2024-25, Co-PI ($40,000)
  • Virginia Commonwealth University, L. Douglas Wilder School of Government and Public Affairs: Small Grant (Open Award), Predicting the Impacts of Artificial Intelligence on Workers: A Systematic Literature Review, 2024-25, Co-PI ($10,000)
  • Google Research, Undergraduate Student AI Literacy in the U.S., Germany, and U.K., 2023, PI ($5,000)
  • National Institute of Justice Innovations in Measuring Community Perceptions Challenge (2023)
  • Purdue University, Office of Research, Seed funding for Foundations and Cracks in Achieving Ethical Action Through AI Education: A Systematic Review, 2023-24, PI ($10,000)
  • Georgia Institute of Technology William H. Read Award, Outstanding Graduate Student in Public Policy (2022)
  • Best Paper Award for American Society for Engineering Education Engineering Ethics Division, Best Paper for Professional Interest Council 1, and Finalist for Best Overall Paper at ASEE (top 5 of 2000 submissions) (2022)
  • Georgia Institute of Technology Ivan Allen Liberal Arts Graduate Essay Competition, Winner (2021)
  • National Science Foundation, Ethical and Responsible Research (ER2), Broadening Participation in Computing Ethics Curriculum Development, 2021-25, Faculty Associate ($398,288)
  • Georgia Institute of Technology, CRIDC Graduate Student Conference Poster Competition, Provost’s Award, 2020 ($2,000)
  • Georgia Institute of Technology James D. Foley GVU Graduate Student Award, Foley Scholars Finalist (2020)
  • Enterprise Innovation Institute, Science Technology and Innovation Policy Award, 2019 ($6,000)
  • Georgia Institute of Technology Ivan Allen Liberal Arts Graduate Essay Competition, Runner-up (2019)
  • Georgia Institute of Technology, Institute Fellowship, 2017 ($10,000)
  • Georgia Institute of Technology, President’s Fellowship, 2017 ($20,000)
  • Princeton University Center for Human Values Summer Research Grant (2011)

Media and Industry Coverage

Policy Coverage

Teaching Experience

  • Courses Taught and Developed:
  • POL 528: Organizational Governance of Technology and AI
  • College of Liberal Arts, Purdue University, West Lafayette, IN
  • POL 526: Technology, AI, and Ethics in Policy and Public Administration
  • College of Liberal Arts, Purdue University, West Lafayette, IN
  • POL 551: Governance Auditing of AI: Sociotechnical Frameworks and Practices (co-developed)
  • College of Liberal Arts, Purdue University, West Lafayette, IN
  • SCLA 102: “AI, Power, & Society”
  • College of Liberal Arts, Purdue University, West Lafayette, IN
  • AI Policy & Governance
  • Micro-credential, Purdue Online, Purdue University, West Lafayette, IN
  • SCLA 522: AI Policy, Governance, and Ethics (co-developed)
  • College of Liberal Arts, Purdue University, West Lafayette, IN
  • SCLA 521: Societal Impacts of AI (co-developed)
  • College of Liberal Arts, Purdue University, West Lafayette, IN
  • POL 120: Introduction to Public Policy
  • College of Liberal Arts, Purdue University, West Lafayette, IN
  • CS 4001: Computing & Society (Syllabus)
  • College of Computing, Georgia Institute of Technology, Atlanta, GA
  • PUBP 3120: Statistical Analysis for Public Policy, Teaching assistant
  • School of Public Policy, Georgia Institute of Technology, Atlanta, GA
  • GAFL 703: Statistics for Public Leadership, Teaching assistant
  • Fels Institute of Government, University of Pennsylvania, Philadelphia, PA

Mentorship

  • Postdoctoral Researchers:
  • Chee Hae Chung, Postdoctoral Fellow, Purdue University (Co-Supervisor) (Postdoctoral Fellow, Harvard Kennedy School Belfer Center)
  • Hanna Sistek, Postdoctoral Fellow, Purdue University (Co-Supervisor) (Postdoctoral Fellow, Edmond & Lily Safra Center for Ethics, Harvard University)
  • Vasundhara Kaul, Postdoctoral Fellow, Purdue University
  • Arne Bewersdorff, Postdoctoral Fellow, Technical University of Munich (Postdoctoral Research Associate, AI4STEM Education Center, University of Georgia)
  • Heonuk Ha, Postdoctoral Fellow, University of Michigan (Assistant Professor, University of Texas at Dallas)
  • Doctoral Students:
  • Indira Patil, PhD student, Purdue University (Dissertation Chair; Primary Field Chair)
  • Lucas Wiese, PhD student, Purdue University (Dissertation Co-Chair)
  • Adriana Watson, PhD student, Purdue University (Dissertation Committee Member)
  • Alex Wilhelm, PhD student, Purdue University (Dissertation Committee Member) (Assistant Professor, Kennesaw State University)
  • Bryan DeWitt, PhD student, Purdue University (Dissertation Committee Member)
  • Cody Trebil, TechD student, Purdue University (Dissertation Committee Member)
  • James Prater, TechD student, Purdue University (Dissertation Committee Member)
  • Emily Kim, PhD student, Georgia Institute of Technology (Dissertation Committee Member) (Postdoctoral Research Associate, UC Institute on Global Conflict and Cooperation, University of California, San Diego)
  • Jide Olugbade, PhD student, Georgia Institute of Technology (Dissertation Committee Member)
  • Sue Bae, PhD student, Georgia Institute of Technology (Dissertation Committee Member)
  • Bhargavi Ganesh, PhD student, University of Edinburgh (Dissertation Committee Member) (Postdoctoral Fellow, Accountable AI Lab, Wharton, University of Pennsylvania)
  • Christina Walker, PhD student, Purdue University (Assistant Professor, University of Georgia)
  • Mazie Bernard, PhD student, Purdue University
  • Michael Kuczajda, PhD student, Purdue University (Minor Field Advisor)
  • Ogadinma Enwereazu, PhD student, Purdue University
  • Selen Dogan Kosterit, PhD student, Purdue University
  • Yaosheng Xu, PhD student, Purdue University
  • Yunzhe Liu, PhD student and GRAIL Graduate Fellow, Purdue University (Mentor)
  • Jae Woo Lee, PhD student, Cambridge University
  • Quintin Kreth, PhD student, Georgia Institute of Technology (Postdoctoral Fellow, University of Michigan)
  • Marie Hornberger, PhD student, Technical University of Munich
  • Ibtihal Ferwana, PhD student, University of Illinois
  • Cory Alpert, PhD student, University of Melbourne
  • Chloe Ahn, PhD student, University of Pennsylvania
  • Chandler Robinson, PhD student, University of Utah
  • Victor Amuzu, PhD student, Virginia Commonwealth University
  • Master’s Students:
  • Anjali Bhati, MS student, Purdue University
  • Hardik Amin, MSAI student, Purdue University
  • Emma Logevall, MS, Georgia Institute of Technology
  • Jack Wang, MA student, University of Chicago
  • Undergraduate Students:
  • Aadya Pawar, Aayan Agarwal, Aayushi Sahgal, Abby Sabella, Adam Hafez, Aira Chaudhary, Airton Ludena, Alaina Hall, Alex Workman, Amrit Subramaniam, Anant Gupta, Andrew Chen, Anjali Nookala, Ann Seo Jin Kim, Annabel Brown, Annetti Ruiz Millán, Anshika Saxena, Anya Popa, Arnav Grover, Ashley Hung, Ashley Ko, Austin Lee, Avi Davu, Ayusha Patra, Ben Forman, Bernadette Slattery, Brian Song, Carter Yoo, Chatanya Sarin, Chelsy Luna, Chloe Tremblay, Clay Reynolds, David Griffin, Delainie Nichols, Deona Julary, Diya Kalavala, Donovan Luo, Drew Sullivan, Efua Asamani-Baah, Ella Parker, Emre Gulec, Erik Vitek, Ervinas Meija, Evan Glenn, Fareha Afaq, Gabe Aguilar, Gitali Teckchandani, Gregory Tolmochow, Haley Hyatt, Haneen Azhar, Henry Kiracofe, Huy Nguyen, Isabella Mulford, Isadora Argenta, Ishaan Singh, Jaahnvi Toolsidas, Jaeyun Kim, Jaren Peters, Jayan Srinivasan, Jiashu Hu, Jolin Li, Josephine Bradley, Kalyan Archakam, Kanishk Thamman, Katherine Connell, Kayshav Bhardwaj, Keira Lavelle, Krista Gross, Kush Mehra, Kye Benford, Kyla MacDonald, Liam Narendorf, Lillian Fix, Lily Hughbanks, Lydia Windell, Mackenzie Huryn, Maddie Phillips, Mahule Roy, Makena Hersh, Mallika Keralavarma, Manoranjan Mohan Kumar, Markian Hromiak, Marlee Brimner, Matthew Catani, Matthew Hoang Shinners, Megan Xu, Meng Shi, Michael Piseno, Mihit Mahanta, Mikil Kuruppu, Muhammad Rizwan, Nakshatra Tondepu, Nick Berger, Noelia Alvarez, Paige Carter, Paityn Freese, Paola Godina Salas, Parinita Kadamby, Parth Joshi, Philip Dai, Phillip Hanan, Prisha Mungara, Priyanka Paradkar, Ramani Satishkumar, Rayed Rahman, Riya Padmonkar, Riya Singh, Rohan Tyagi, Ruth Sugiarto, Ryan Rittner, Ryan Weidenaar, Saahil Mathur, Sarah Mohapatra, Sarathi Velmurugan, Sarina Oliveri Kuhnle, Savja Santana, Sharvani Kondapally, Shireen Malhotra, Shiva Shakouri, Shreya Venkat, Shria Kapisthalam, Sophia Ratliff, Sophia Roberts, Sowmya Nityakalyanam, Sripoorna Modugula, Sritha Vangala, Stephanie Nogales, Stuthi Sunil, Sudhanva Anand Deshpande, Sweksha Mehta, Swetha Bala, Syona Kadidal, Tabitha Akoto, Tasneem Ahmed, Tavneet Gadhoke, Teju Nallagundla, Teju Raghprasad, Tran Nguyet Anh An, Tri Vo, Trisha Hande, Urjit Aich, Vedant Thakur, Victoria Iannotti, Yash Sinhal, Yiyang He, Yu Lu, Zach Vogel, Zanika Hossain

Additional Professional Experience

  • 2018 – 2022 Social Responsibility of STEM Students, Georgia Institute of Technology
  • Research Assistant for PI Dr. Colin Potts for NSF CCE STEM Grant No. 1635554.
  • Perform mixed-methods research assessing development of social responsibility in college students for NSF Cultivating Cultures for Ethical STEM grant
  • 2018 Ethically Contentious Science, Georgia Institute of Technology
  • Research Assistant for PI Dr. Aaron Levine for NSF CAREER Grant No. 1150114.
  • Research on graduate student participation in ethically contentious fields

Additional Coursework

  • 2020 Georgia Institute of Technology, Center for Teaching and Learning
  • “Tech to Teaching” Certificate, Teaching program for future faculty
  • 2015, 2019 University of Michigan
  • Online courses in Python databases and data structures
  • 2017 Johns Hopkins University
  • Online Course in R Programming
  • 2010 Georgetown University
  • International relations and public diplomacy program