Daniel S. Schiff

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

Curriculum Vitae

Email: dschiff@purdue.edu

Website: danielschiff.com

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

Last updated: 2026-07-13

Research Interests

Professional Appointments

Education

Peer-Reviewed Journal Articles

* indicates co-equal first authorship.

  1. 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
  2. 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. https://doi.org/10.1007/s11633-026-1637-x
  3. 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
  4. 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. https://doi.org/10.1016/j.chbah.2025.100132
  5. 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. https://doi.org/10.1016/j.caeai.2024.100340
  6. 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. https://doi.org/10.1109/TTS.2025.3567143
  7. 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
  8. 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
  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. https://doi.org/10.1093/pnasnexus/pgaf267
    American Political Science Association Best Public Policy Paper Award (2025)
  10. 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
  11. 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
  12. 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
  13. 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
  14. Ganz, S. C., & Schiff, D. S. (2025). Subcoalition Cluster Analysis: A New Method for Modeling Conflict in Organizations. Management Science. https://doi.org/10.1287/mnsc.2020.00013
  15. Schiff, D. S. *, Kelley, S. *, & Camacho Ibáñez, J. * (2025). The emergence of artificial intelligence ethics auditing. Big Data & Society, 11(4). https://doi.org/10.1177/20539517241299732
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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., Rigby, M., Sherlock, R., Sundararaj, V., & Zhu, Q. (2024). 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, 1–23. https://doi.org/10.1109/TTS.2024.3476041
  21. 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
  22. Schiff, D. S. (2023). Looking through a policy window with tinted glasses: Setting the agenda for U.S. AI policy. Review of Policy Research. https://doi.org/10.1111/ropr.12535
  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. O’Shaughnessy, M. R., Schiff, D. S., Varshney, L. R., Rozell, C. J., & Davenport, M. A. (2023). What governs attitudes towards artificial intelligence adoption and governance? Science and Public Policy, 50(2), 161-176. https://doi.org/10.1093/scipol/scac056
  25. Schiff, D. (2022). Education for AI, not AI for Education: AI, Education, and Ethics in National AI Policy Strategies. International Journal of AI in Education, 32, 527-563. https://doi.org/10.1007/s40593-021-00270-2
  26. Schiff, D., Borenstein, J., Laas, K., & Biddle, J. (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
  27. Schiff, D. S., Schiff, K. J., & Pierson, P. (2021). Assessing public value failure in government adoption of artificial intelligence. Public Administration, 110(1), 70-91. https://doi.org/10.1111/padm.12742
  28. Schiff, D., Bogdana, R., Ayesh, A., Fanta, 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
  29. Nazareno, L., & Schiff, D. S. (2021). The Impact of Automation and Artificial Intelligence on Worker Well-being. Technology in Society, 67. https://doi.org/10.1016/j.techsoc.2021.101679
  30. Schiff, D. S., Logevall, E., Borenstein, J., Newstetter, W., Potts, C., & Zegura, E. (2020). 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
  31. Schiff, D. (2020). Out of the Laboratory and Into the Classroom: The Future of AI in Education. AI & Society, 36(1), 331-348. https://doi.org/10.1007/s00146-020-01033-8
  32. 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
  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

Peer-Reviewed Conference Papers

  1. 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
  2. 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. DOI
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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. https://doi.org/10.1609/aaai.v38i21.30349
    Best Paper Award, AAAI 2024
  8. 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
  9. Schiff, D., Ayesh, A., Musikansi, 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, 2745-2753. https://doi.org/10.1109/SMC42975.2020.9283454
  10. Schiff, D., Bogdana, R., Ayesh, A., Fanta, A., & Lennon, M. (2020). Principles to Practices for Responsible AI: Closing the Gap. European Conference on AI. Preprint
  11. 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. https://doi.org/10.1145/3375627.3375804
  12. 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
  13. Narvilkar, M., Mangiameli, J., 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. (2026). AI, policy, and power. Artificial Intelligence and Power in Government. In Artificial Intelligence and Power in Government. Palgrave Macmillan. (Forthcoming)
  2. Wiese, L., & Schiff, D. S. (2026). Discourse Before Doctrine: The Category Error at the Heart of AI Ethics Education. Handbook of Critical Studies of Artificial Intelligence and Education. In Handbook of Critical Studies of Artificial Intelligence and Education. (Forthcoming)
  3. Schiff, D. S. (2026). Future trends in global AI governance. Handbook on the Global Governance of AI. In Handbook on the Global Governance of AI. Edward Elgar Publishing. (Forthcoming) https://doi.org/10.2139/ssrn.5343797
  4. Schiff, D. S. (2025). Strategies for harmonizing fragmented AI ethical frameworks, standards, and regulations. Handbook of Human-Centered Artificial Intelligence. In Handbook of Human-Centered Artificial Intelligence. Springer Nature. https://doi.org/10.1007/978-981-97-8440-0_82-1
  5. Kreth, Q., Schiff, D. S., Lee, J., Borenstein, J., & Zegura, E. (2024). Social Responsibility and Ethics in STEM Education: The State of the Field. Building Inclusive Ethical Cultures in STEM. In Building Inclusive Ethical Cultures in STEM. Springer International Publishing. https://doi.org/10.1007/978-3-031-51560-6_2
  6. Campos, S., & Schiff, D. S. (2024). The AI extreme risk mitigation philanthropic sector: A philanthropic ecosystem at the forefront of AI. The Routledge Handbook of Artificial Intelligence and Philanthropy. In The Routledge Handbook of Artificial Intelligence and Philanthropy. https://doi.org/10.4324/9781003468615-29
  7. Schiff, D. S., & Rosenberg-Kima, R. B. (2023). AI in education: Landscape, vision and critical ethical challenges in the 21st century. Handbook of Critical Studies of Artificial Intelligence. In Handbook of Critical Studies of Artificial Intelligence. Edward Elgar Publishing. https://www.elgaronline.com/edcollchap/book/9781803928562/book-part-9781803928562-81.xml
  8. Schiff, D. S., Laas, K., Biddle, J. B., & Borenstein, J. (2022). Global AI Ethics Documents: What They Reveal About Motivations, Practices, and Policies. Codes of Ethics and Ethical Guidelines, Emerging Technologies, Changing Fields. In Codes of Ethics and Ethical Guidelines, Emerging Technologies, Changing Fields. Springer. https://doi.org/10.1007/978-3-030-86201-5_7

Additional Publications

  1. Marta Ziosi, Miro Plueckebaum, Stephen Casper, Henry Papadatos, Ze Shen Chin, Peter Slattery, James Gealy, Tim G. J. Rudner, Brian Tse, Ariel Gil, Patricia Paskov, Maximilian Negele, Rokas Gipiškis, Nada Madkour, Vera Lummis, Rupal Jain, Luise Eder, Kristina Fort, Malou C. van Draanen Glismann, … Daniel S. Schiff, … Robert Trager (2026). Open problems in frontier AI risk management. Oxford Martin AI Governance Initiative, University of Oxford. https://doi.org/10.48550/arXiv.2604.25982
  2. Schiff, D. S. (2026). Response to "What Do We Want From AI?". Issues in Science and Technology. (Forthcoming)
  3. 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)
  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. 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/
  7. 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://papers.ssrn.com/sol3/papers.cfm?abstract_id=5108572
  8. 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/?p=1812651
  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, K. J., Schiff, D., & Bueno, N. (2023). 10 Things to Know About Pilot Studies. Evidence in Governance and Politics (EGAP). https://egap.org/resource/10-things-to-know-about-pilot-studies
  11. 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
  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. 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
  14. 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. https://egap.org/resource/10-things-to-know-about-pilot-studies
  15. Daniel S. Schiff (2024). In shaping AI policy, stories about social impacts are just as important as expert information. London School of Economics Blog. London School of Economics Blog
  16. Daniel S. Schiff (2024). Narratives and Expert Information in Agenda-Setting: Experimental Evidence on State Legislator Engagement with AI Policy. Policy Studies Journal Blog. Policy Studies Journal Blog

Conference Presentations

  1. Rho, E., Jong, J., Schiff, K. J., Schiff, D. S., Chen, Y.-C., Lee, J., Kim, Y., & Ahn, M. J. (2026). Survey of Artificial Intelligence in Local Government (SAIL-Gov): AI Adoption, Governance, and Public Values at the Local Level. Panelist for ACM International Conference on Digital Government Research (dg.o 2026), Omaha, NE.
  2. Schiff, D. S., Schiff, K. J., Wilhelm, A., & Girard, T. (2026). The Influence of Information and Audits on the Public's Perception of AI. Presenter for 83rd Annual Midwest Political Science Association (MPSA) Conference, Chicago, IL (hybrid).
  3. Patil, I., & Schiff, D. S. (2026). 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, Online.
  4. Patil, I., & Schiff, D. S. (2026). Translating AI Literacy Into Public Participation in AI Policy: Evidence From a Survey Experiment in the United States. Co-author for 83rd Annual Midwest Political Science Association (MPSA) Conference, Chicago, IL (hybrid).
  5. Enwereazu, O., Patil, I., Schiff, D. S., & Schiff, K. J. (2025). AI in Defense: U.S. Legislative Approaches to Autonomous Weapons and National Security. Midwestern Political Science Association Annual Meeting, Chicago, IL.
  6. Wilhelm, A., Schiff, D. S., Girard, T., & Schiff, K. J. (2025). Certifying Trust: The Influence of Ethics Commitments and Audits on Public Trust in AI. Midwestern Political Science Association Annual Meeting, Chicago, IL.
  7. Robinson, C., Schiff, K. J., Schiff, D. S., McCrain, J., & Adams, I. (2025). Civilian Oversight and Artificial Intelligence in US Local Law Enforcement. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  8. Schiff, K. J., McCrain, J., Schiff, D. S., Moy, B. J., Adams, I. T., & Mourtgos, S. M. (2025). Do Civilian Review Boards Impact the Perceived Legitimacy of Police Investigations? Midwestern Political Science Association Annual Meeting, Chicago, IL.
  9. Chung, C. H., & Schiff, D. S. (2025). Governing AI: Legislative Preferences and Challenges in Korea’s National Assembly. 2025 APPAM Fall Research Conference, Seattle, WA.
  10. Chung, C. H., Schiff, D. S., & Kim, M. H. (2025). Governing AI: Legislative Preferences and Challenges in Korea's National Assembly. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  11. Chung, C. H., Kim, M. H., & Schiff, D. S. (2025). How Should AI Be Governed? A Conjoint Experiment on Legislative Preferences in South Korea’s National Assembly. Midwestern Political Science Association Annual Meeting, Chicago, IL.
  12. Patil, I., & Schiff, D. S. (2025). Mapping Beliefs and Resources: Insights on Stakeholder Power in AI Policy. Midwestern Political Science Association Annual Meeting, Chicago, IL.
  13. Schiff, K. J., Schiff, D. S., Dietrich, B., Walker, C., & Chung, C. H. (2025). The Impact of Generative AI on Political Outreach: Insights from Two Experiments. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  14. Wilhelm, A., Schiff, D. S., Schiff, K. J., & Girard, T. (2025). The Influence of Ethics Commitments and Audits on Public Trust in AI. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  15. Schiff, D. S., Schiff, K. J., Wilhelm, A., & Girard, T. (2025). The Influence of Information and Audits on the Public’s Perception of AI. 2025 APPAM Fall Research Conference, Seattle, WA.
  16. Patil, I., & Schiff, D. S. (2025). Translating AI Literacy into Public Participation in AI Policy. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  17. Patil, I., & Schiff, D. S. (2025). Translating AI Literacy into Public Participation in AI Policy: Evidence from a Survey Experiment in the United States. Midwestern Political Science Association Annual Meeting, Chicago, IL.
  18. Ahn, C., Schiff, D. S., Jackson Schiff, K., Lu, Y., Liu, Y., Patil, I., Dreksler, N., Peskowitz, Z., & Law, H. (2025). Value Alignment Starts with Listening: Mapping Public Attitudes to Inform AI Policy and Systems. Values-in-the-Loop Workshop, Carnegie Mellon University, Pittsburgh, PA.
  19. Schiff, D. S., Kelley, S., Schiff, K. J., McCrain, J., & Adams, I. T. (2025). Vetting the AI that Vets Us: Ethical Trade-offs in HR Professionals’ AI Procurement Decisions. Midwestern Political Science Association Annual Meeting, Chicago, IL.
  20. Walker, C., Bueno, N. S., Schiff, D. S., & Schiff, K. J. (2025). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. 2025 APPAM Fall Research Conference, Seattle, WA.
  21. Walker, C., Bueno, N. S., Schiff, D. S., & Schiff, K. J. (2025). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. Annual Meeting of the American Political Science Association, Vancouver, BC, Canada.
  22. Walker, C. P., Bueno, N. S., Schiff, D. S., & Schiff, K. J. (2025). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. Midwestern Political Science Association Annual Meeting, Chicago, IL.
  23. Enwereazu, O., Schiff, K. J., Schiff, D. S., Girard, T., & Wilhelm, A. (2024). 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, Online.
  24. Patil, I., & Schiff, D. S. (2024). AI, Policy, and Power. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  25. Patil, I., & Schiff, D. S. (2024). AI, Policy, & Power. Midwestern Political Science Association, Chicago, IL.
  26. Patil, I., & Schiff, D. S. (2024). AI, Policy, & Power. Annual Conference of the Association for Practical and Professional Ethics, Cincinnati, OH.
  27. Enwereazu, O., Schiff, K. J., & Schiff, D. S. (2024). 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.
  28. Chung, C., & Schiff, D. S. (2024). Bridging the East-West Divide in Technology Governance: Examining AI Ethics and Policy Through an Asian Lens. Midwestern Political Science Association, Chicago, IL.
  29. Chung, C., & Schiff, D. S. (2024). 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, Cincinnati, OH.
  30. Schiff, D. S., Schiff, K. J., Girard, T., & Wilhelm, A. (2024). Certifying Trust: The Influence of Ethics Audits on Public Trust in AI. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  31. Schiff, D. S., Schiff, K. J., Kelley, S., McCrain, J., & Adams, I. (2024). Ethical Considerations for AI in Human Resource Management. 2024 APPAM Fall Research Conference, National Harbor, MD.
  32. Schiff, D. S., Schiff, K. J., Kelley, S., McCrain, J., & Adams, I. (2024). Ethical Considerations for AI in Local Government Human Resource Management. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  33. Schiff, D. S., Kelley, S., Schiff, K. J., McCrain, J., & Adams, I. (2024). Ethical Considerations for AI in Local Government Human Resource Management. Midwestern Political Science Association, Chicago, IL.
  34. McCrain, J., Schiff, K. J., Schiff, D. S., & Adams, I. (2024). Experimental Evidence for Accountability and Legitimacy in Policing. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  35. Chung, C., & Schiff, D. S. (2024). Justice in the Algorithmic Age: Renegotiating the Social Contract in the Era of AI. Midwestern Political Science Association, Chicago, IL.
  36. Walker, C. P., Schiff, D. S., & Schiff, K. J. (2024). Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database. Midwestern Political Science Association, Chicago, IL.
  37. Walker, C. P., Schiff, D. S., & Schiff, K. J. (2024). Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database. 2024 AAAI Innovative Applications of Artificial Intelligence.
  38. Patil, I., & Schiff, D. S. (2024). Operationalizing Ethics in AI Ethics Auditing: Drivers and Challenges. Midwestern Political Science Association, Chicago, IL.
  39. Patil, I., & Schiff, D. S. (2024). Operationalizing Ethics in AI Ethics Auditing: Drivers and Challenges. Annual Conference of the Association for Practical and Professional Ethics, Cincinnati, OH.
  40. Nazareno, L., Schiff, D. S., & Amuzu, V. (2024). The Future of Work in the AI Era: Contrasting Methodologies to Anticipate Impacts. 2024 APPAM Fall Research Conference, National Harbor, MD.
  41. Walker, C. P., Schiff, D. S., & Schiff, K. J. (2024). The Political Deepfakes Incidents Database. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  42. Dietrich, B., Schiff, K. J., & Schiff, D. S. (2024). The Second Order Effects of LLMs and Generative AI on Political Communication. Annual Meeting of the American Political Science Association, Philadelphia, PA.
  43. Schiff, D. S., Schiff, K. J., Kelley, S., McCrain, J., & Adams, I. (2023). Ethical Considerations for AI in Human Resource Management. 2023 APPAM Fall Research Conference, Atlanta, GA.
  44. Schiff, D., & Schiff, K. J. (2022). Does Reason or Passion Drive Agenda-Setting for AI Policy? Evidence from a Field Experiment. 2022 APPAM Fall Research Conference, Washington, DC.
  45. Schiff, D. S. (2022). 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.
  46. Schiff, D., & Lee, J. (2022). Influences and Inhibitors in Undergraduate Social Responsibility Development: Evidence from a Mixed-Methods Longitudinal Study. 2022 APPAM Fall Research Conference, Washington, DC.
  47. Schiff, D., & Lee, J. (2022). 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.
  48. Schiff, D., & Schiff, K. J. (2022). Reason and Passion in Agenda-Setting: Experimental Evidence on State Legislator Engagement with AI Policy. Annual Meeting of the American Political Science Association.
  49. Schiff, D. (2022). Setting the Agenda for Artificial Intelligence Policy: Issue Frames in Public and Policy Discourse. 2022 APPAM Fall Research Conference, Washington, DC.
  50. Schiff, D., & Schiff, K. J. (2021). Reason and Passion in Agenda-Setting: Influence Dynamics in AI Policy. Elites & Experiments Conference, virtual.
  51. Schiff, D., Schiff, K. J., & Bueno, N. S. (2021). The Liar's Dividend: How Misinformation About Misinformation Pays Off. Annual Meeting of the American Political Science Association.
  52. Schiff, D., Schiff, K. J., & Pierson, P. (2020). How Issues of Bias, Transparency, and Agency Affect Citizen Support for AI in Government Services. Conference of the American Association for Public Opinion Research.
  53. Schiff, D., Schiff, K. J., & Pierson, P. (2020). 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.
  54. Schiff, D. (2020). IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence. IEEE International Systems, Man, and Cybernetics Conference.
  55. Schiff, D., Bogdana, R., Ayesh, A., Fanta, A., & Lennon, M. (2020). Principles to Practices for Responsible AI: Closing the Gap. European Conference on AI, Workshop on AI for Equity.
  56. Schiff, D., Schiff, K. J., & Bueno, N. S. (2020). The Liar's Dividend: How Misinformation About Misinformation Affects Politician Support and Trust in Media. 2020 APPAM Fall Research Conference, Virtual.
  57. Schiff, K. J., & Schiff, D. (2020). The Liar’s Dividend: The Impact of Deepfakes and Fake News on Politician Support and Trust in Media. Harvard Experimental PolSci Conference.
  58. Schiff, D., & Joyner, D. (2019). Designing Technology for Online Adult Education. Panel session at American Psychological Association, Technology, Mind, & Society Conference, Washington, D.C.
  59. Schiff, D. (2019). Out of the Laboratory and Into the Classroom: The Future of Artificial Intelligence in Education. Ivan Allen Conference, Georgia Institute of Technology, Atlanta, GA.
  60. Schiff, D., Herzog, L., & Farley-Ripple, E. (2015). Teacher networks in Philadelphia: Landscape, engagement, and value. American Educational Research Association, Chicago, IL.

Poster Presentations

Invited Talks, Panels, and Public Engagement

  1. Schiff, D. S. (2026). AI and the Social Contract. Second Annual IASEAI Conference, International Association for Safe and Ethical AI, Paris, France.
  2. 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.
  3. Schiff, D. S. (2026). Critical AI and Policy. AI-Informed Writing Classroom Colloquium Series, Arizona State University, Department of English, Virtual (Zoom).
  4. Schiff, D. S. (2026). Deepfakes and AI-driven disinformation. Invited speaker, Inter-Parliamentary Union, IPU Community of Practice on Intimidation of Public Officials, Geneva, Switzerland.
  5. Schiff, D. S. (2026). Deepfakes and the Battle for Authentic Information. Panelist, First Annual Summit on Information, Technology, and American Democracy, The Heirloom, 230 W McCarty Street, Indianapolis, Indiana.
  6. 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.
  7. 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.
  8. 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.
  9. Schiff, D. S. (2025). AI Governance for Regulatory Boards: Foundations and Challenges. Invited keynote speaker, Federation of Associations of Regulatory Boards.
  10. 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.
  11. 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.
  12. Schiff, D. S. (2025). AI and the Next Chapter of Humanity: A Conversation with Dr. Daniel S. Schiff. The Internet is Crack Podcast, The Internet is Crack, Virtual.
  13. 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.
  14. 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.
  15. Schiff, D. S. (2025). Digital Transformation in Health: A Primer on AI Governance and Ethics. Invited speaker for Leading Digital Transformation in Health and Care for Scotland, NHS Education for Scotland, Scotland, UK.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. Schiff, D. S. (2025). Contested Terrain: Emerging Trends in AI Policy and Governance. Invited speaker, Purdue Online MS in AI, West Lafayette, IN.
  23. 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.
  24. 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.
  25. Schiff, D. S. (2025). Muddling Through Ethical, Pedagogical, and Institutional Challenges of AI in Education. Invited speaker, Opus College of Engineering, Marquette University.
  26. Schiff, D. S., Anderson, B., & Davis, J. (2025). Use Cases for State and Local Government. Moderator, Peer-to-Peer Conversation Series, Societal Experts Action Network, National Academies of Sciences, Engineering, and Medicine, Virtual.
  27. 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.
  28. Schiff, D. S. (2025). Teaching Machines to Teach: Balancing AI Innovation and Responsibility in Education. Invited keynote speaker, Kaltura.
  29. Schiff, D. S. (2025). Vetting the AI that Vets Use: 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.
  30. Schiff, D. S. (2024). Agenda-Setting Dynamics in U.S. AI Policy. Center for the Study of Ethics in Society Lecture, Western Michigan University, Kalamazoo, MI.
  31. 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, Korea.
  32. Schiff, D. S. (2024). AI Tools in Graduate Teaching, Education, and Research. Presenter, Department of Political Science Graduate Student Association, Purdue University.
  33. Schiff, D. S. (2024). Debates, Dilemmas, and Decisions in AI Governance. Invited speaker for AI@WMU events series, Department of Philosophy and WMUx, Western Michigan University, Virtual.
  34. 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, Limerick, Ireland.
  35. 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.
  36. Schiff, D. S. (2024). Ethical Risks of Generative AI in Education. LearnTech Podcast, LearnTech, Virtual.
  37. Schiff, D. S. (2024). Governing AI in Healthcare: Debates, Dilemmas, and Decisions in the Regulatory Landscape. Invited keynote speaker for the International Medical Informatics Association (IMIA) series of Healthy AI: Standards, Interoperability, Ethics.
  38. 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, Georgetown University, Washington, D.C.
  39. Schiff, D. S. (2024). Agenda-Setting Dynamics in U.S. AI Policy. Seoul National University Seminar, Seoul, South Korea.
  40. Sheehan, M., Schiff, D. S., Narayanan, M., & Arnold, Z. (2024). What’s Next in AI Governance? Looking Ahead to 2025. Panelist, Center for Security and Emerging Technology, Washington.
  41. Bode, L., Costello, T., Wirtschafter, V., & Schiff, D. S. (2024). The Digital Deception Landscape: Academic Insights on Misinformation and Deepfakes. Academic Alliance for AI Policy, Virtual.
  42. Schiff, D. S. (2024). The Politics of AI: Will Bipartisanship Last or Is Polarization Inevitable? Truman School of Government and Public Affairs and MU Law School, Columbia, MO.
  43. Schiff, D. S. (2024). The Politics of AI: Will Bipartisanship Last or Is Polarization Inevitable? Invited speaker for Symposium on AI & Algorithms in Government, Institute for Social and Policy Studies, Yale University, New Haven, CT.
  44. Schiff, D. S. (2024). The Rise of AI-Powered Politics. Center for C-SPAN Scholarship and Engagement, West Lafayette, IN.
  45. 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.
  46. Schiff, D. S. (2024). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. Caltech AI and Society Seminar, California Institute of Technology, Pasadena, CA.
  47. Schiff, D. S. (2024). What's Next in AI Governance? Looking Ahead to 2025. Center for Security and Emerging Technology (CSET), Georgetown University, Washington, D.C.
  48. Schiff, D. S. (2024). What to Know About Academic Citizenship. Panelist, Department of Political Science Graduate Student Association, West Lafayette, IN.
  49. 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.
  50. Schiff, D. S. (2023). AI and Governance. ML @ Purdue Speaker Series, ML @ Purdue (student organization), West Lafayette, IN.
  51. Schiff, D. (2023). Careers in Technology Ethics. IEEE ETHICS-2023, Purdue University, West Lafayette, IN.
  52. Schiff, D. (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.
  53. Schiff, D. (2023). Implications of AI for Research Ethics. Presentation to Purdue University IRB, West Lafayette, IN.
  54. Schiff, D. (2023). Issues in AI and economic development: labor, human resources, and education. Presentation to Crawfordsville Economic Development Forum, Crawfordsville, IN.
  55. Schiff, D. (2023). Perspectives from Liberal Arts on the Practical Turn in AI Ethics. IEEE ETHICS-2023, Purdue University, West Lafayette, IN.
  56. Schiff, D. (2023). Responsible AI in consumer insights. Invited speaker for Insight Extravaganza 2023.
  57. Schiff, D. S., & Schiff, K. J. (2023). Teaching in the Age of Generative AI: Resisting, Adapting, or Embracing? Presentations (3) to the Purdue System-Wide Virtual Forum on AI, Teaching & Learning Community of Practice, and Cornerstone Program, West Lafayette, IN.
  58. Schiff, D. S. (2023). The AI 2023 Show. FinTech4Good, Virtual.
  59. 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.
  60. Schiff, D. (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.
  61. Schiff, D. (2022). AI Ethics and Governance: Emerging Questions and Career Pathways. Invited speaker, Duke University, Science & Society, Durham, NC.
  62. Schiff, D. (2022). Can We Standardize AI Ethics? CINECU, Madrid, Spain.
  63. Schiff, D. (2022). Policy, ethics, social science careers in AI. Invited speaker, AI4ALL, Columbia University, NY, NY.
  64. Schiff, D. S. (2021). Applying the IEEE 7010-2020 Standard. AAAS Annual Meeting, American Association for the Advancement of Science, Virtual.
  65. Schiff, D. S. (2021). Impact of Autonomous and Intelligent Systems on Well-being. ACM CHI Workshop on Digital Well-being (EAD), ACM CHI, Virtual.
  66. Schiff, D. (2021). The Impact of AI and Robots on Education. GLOCER (Global Conference on Education and Research), University of South Florida, Virtual.
  67. Schiff, D. (2020). AI Ethics and Policy: America's Place in Global AI Governance. Invited keynote speaker at Foreign Policy Association, Great Decisions series, Atlanta, GA.
  68. Schiff, D., & Topor, L. (2020). Politics, Big Data, and New Technology: The State of the Field. Panelist at Southern Political Science Association, San Juan, PR.
  69. Schiff, D. (2019). Preparing Georgia Stakeholders for the AI Revolution. Presentation to Science, Technology, and Innovation Policy Program, Atlanta, GA.
  70. Schiff, D. S. (2019). Preparing Georgia Stakeholders for the AI Revolution. Science, Technology, and Innovation Policy (STIP) Program, Georgia Tech Enterprise Innovation Institute, Atlanta, GA.
  71. Schiff, D. (2016). Philadelphia education funding or the lack thereof. Invited keynote speaker to Repair the World, Philadelphia, PA.

Professional Affiliations and Leadership

Academic and Professional Service

Grants and Sponsored Research

Awards and Honors

Media and Industry Coverage

Policy Coverage

Teaching Experience

Mentorship

Additional Professional Experience

Additional Coursework