# Daniel Schiff — Curriculum Vitae


## 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

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)

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. [DOI](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

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*. [DOI](https://doi.org/10.1002/poi3.70020)

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*. [DOI](https://doi.org/10.1016/j.chbah.2025.100132)

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*. [DOI](https://doi.org/10.1016/j.caeai.2024.100340)

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*. [DOI](https://doi.org/10.1109/TTS.2025.3567143)

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*. [DOI](https://doi.org/10.1016/j.caeai.2025.100405)

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*. [DOI](https://doi.org/10.1016/j.chbah.2025.100176)

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*. [DOI](https://doi.org/10.1093/pnasnexus/pgaf267) | [Link](https://osf.io/93uep) | [Data/Code](https://osf.io/93uep)

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*. [DOI](https://doi.org/10.1186/s40594-025-00553-3)

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*. [DOI](https://doi.org/10.1111/puar.13754)

Adams, I. T., McCrain, J., Schiff, D. S., Schiff, K. J., Mourtgos, S. M. Police Reform From the Top Down: Experimental Evidence on Police Executive Support for Oversight. (2025). Journal of Policy Analysis and Management, 44(2), 403–427. [DOI](https://doi.org/10.1002/pam.22620)

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*. [DOI](https://doi.org/10.1109/TTS.2025.3630817)

Ganz, S. C., Schiff, D. S. (2025). Subcoalition Cluster Analysis: A New Method for Modeling Conflict in Organizations. *Management Science,*. [DOI](https://doi.org/10.1287/mnsc.2020.00013)

Schiff, D. S., Kelley, S., Camacho Ibáñez, J. (2025). The emergence of artificial intelligence ethics auditing. *Big Data & Society, 11(4)*. [DOI](https://doi.org/10.1177/20539517241299732)

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*. [DOI](https://doi.org/10.1017/S0003055423001454)

Schiff, D. S. (2024). Framing contestation and public influence on policymakers: Evidence from US artificial intelligence policy discourse. *Policy & Society, 43(3), 255–288*. [DOI](https://doi.org/10.1093/polsoc/puae007)

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*. [DOI](https://doi.org/10.1111/1745-9133.12674) | [Preprint](https://doi.org/10.31235/osf.io/mdu96) | [Link](https://osf.io/rq7fp) | [Data/Code](https://osf.io/rq7fp)

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*. [DOI](https://doi.org/10.1002/hast.4911)

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. (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*. [DOI](https://doi.org/10.1109/TTS.2024.3476041)

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*. [DOI](https://doi.org/10.1080/03075079.2023.2260414)

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*. [DOI](https://doi.org/10.1111/ropr.12535)

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*. [Link](https://onlinelibrary.wiley.com/doi/full/10.1111/psj.12511)

O’Shaughnessy, M., 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*. [DOI](https://doi.org/10.1093/scipol/scac056)

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*. [DOI](https://doi.org/10.1007/s40593-021-00270-2)

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*. [DOI](https://doi.org/10.1109/TTS.2021.3052127)

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*. [DOI](https://doi.org/10.1111/padm.12742)

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*. [DOI](https://doi.org/10.1109/MTS.2021.3056286)

Well-being. (2021). Technology in Society, 67. [DOI](https://doi.org/10.1016/j.techsoc.2021.101679)

Schiff, D., 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*. [DOI](https://doi.org/10.1002/jee.20371)

Schiff, D. (2020). Out of the Laboratory and Into the Classroom: The Future of AI in Education. *AI & Society, 36(1), 331-348*. [DOI](https://doi.org/10.1007/s00146-020-01033-8)

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*. [DOI](https://doi.org/10.1001/amajethics.2019.138)

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)*. [Link](https://eric.ed.gov/?id=EJ1056676)

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*. [DOI](https://doi.org/10.1088/0957-4484/18/41/415709)

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. The competition of fairness in AI‑generated face detection: Methods and results. *Machine Intelligence Research*. *(Forthcoming)*


## Peer-Reviewed Conference Papers

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. [DOI](https://doi.org/10.1609/aies.v8i1.36575)

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. [DOI](https://doi.org/10.1609/aies.v8i2.36608)

Hu, S., Wang, X., Schiff, D. S., Mohanty, S. Nandan, Ofman, R., Zhang, W., Wu, B., Ferrer, C. C., Liu, X., Verdoliva, L., & Lyu, S. (2025, October 15). The Competition of Fairness in AI Face Detection. NeurIPS 2025 Competition Track. [Link](https://openreview.net/forum?id=zus9nXDC5I)

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. [DOI](https://doi.org/10.1145/3641554.3701879)

Arnold, Z., Schiff, D. S., Schiff, K. J., Love, B., Melot, J., Singh, N., Jenkins, L., Lin, A., Pilz, K., Enweareazu, 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.

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. [DOI](https://doi.org/10.1145/3626253.3635557)

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. (Best paper award.) [DOI](https://doi.org/10.1609/aaai.v38i21.30349)

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. (Best paper award.)

Schiff, D., Bogdana, R., Ayesh, A., Fanta, A., & Lennon, M. (2020). Principles to Practices for Responsible AI: Closing the Gap. European Conference on AI. [arXiv](http://arxiv.org/abs/2006.04707)

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. [DOI](https://doi.org/10.1109/MTS.2021.3056286)

Schiff, D., Biddle, J., Borenstein, J., and 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. [DOI](https://doi.org/10.1145/3375627.3375804)

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. [DOI](https://doi.org/10.1145/3290607.3310419)

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, Glassgow, UK. [Link](https://digitalwellbeingworkshop.files.wordpress.com/2019/04/02-wellbeing_measurement_schiff_murahwi_musikanski_havens.pdf)


## Book Chapters

Schiff, D. S. Strategies for harmonizing fragmented AI ethical frameworks, standards, and regulations. In W. Xu (Ed.), Handbook of Human-Centered AI. Springer. [DOI](https://doi.org/10.1007/978-981-97-8440-0_82-1)

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).

Schiff, D. S. Future trends in global AI governance. In M. Furendal & M. Lundgren (Eds.), Handbook on the global governance of AI. Edward Elgar Publishing. (Forthcoming). [DOI](http://dx.doi.org/10.2139/ssrn.5343797)

Wiese, L., & Schiff, D. S. Discourse Before Doctrine: The Category Error at the Heart of AI Ethics Education. In W. Holmes & C. Roberts (Eds.), Handbook of Critical Studies of Artificial Intelligence and Education. (Forthcoming).

Campos, S., & Schiff, D. S. (2024). The AI extreme risk mitigation philanthropic sector: A philanthropic ecosystem at the forefront of AI. In The Routledge Handbook of Artificial Intelligence and Philanthropy. Routledge. [DOI](https://doi.org/10.4324/9781003468615-29)

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 (19–33). Springer International Publishing. [DOI](https://doi.org/10.1007/978-3-031-51560-6_2)

Schiff, D. S., & Rosenberg-Kima, R. AI in Education: Landscape, Vision, and Critical Ethical Challenges in the 21st Century. (2023). In Handbook of Critical Studies of Artificial Intelligence (804–814). Edward Elgar Publishing. [Link](https://www.elgaronline.com/edcollchap/book/9781803928562/book-part-9781803928562-81.xml)

Schiff, D., Laas, K, Biddle, J., & 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. Springer. [DOI](https://doi.org/10.1007/978-3-030-86201-5_7)


## Additional Publications

Ziosi, M., Plueckebaum, M., Casper, S., Papadatos, H., Shen, C. Z., 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., … Trager, R. (2026). Open problems in frontier AI risk management. Oxford Martin AI Governance Initiative, University of Oxford. [Link](https://aigi-staging.catapps.co.uk/open-problems-in-frontier-ai-risk-management/)

Wack, M., Walker, C., Birrer, A., Schiff, K. J., Schiff, D., & Messina, J. (2025). Scrutinizing the many faces of political deepfakes. Tech Policy Press. [Link](https://www.techpolicy.press/scrutinizing-the-many-faces-of-political-deepfakes/)

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. [DOI](https://doi.org/10.5281/zenodo.17328882)

Yuan, J., Wang, X., Chen, T., Ong, Y.-S., Zeller, M.,… Schiff, D.S., … Ti, A. A. (2025). NSF US-Southeast Asia Regional Workshop on Responsible Artificial Intelligence [Technical Report]. National Science Foundation (NSF)

Schiff, D. S., Bewersdorff, A., & Hornberger, M. (2025, June 12). AI literacy: What it is, what it isn’t, who needs it and why it’s hard to define. The Conversation. [DOI](https://doi.org/10.64628/AAI.t3jn7atq9)

Dreksler, N., Clare, S., Jackson Schiff, K., Schiff, D. S., Ahn, C., Peskowitz, Z., & Law, H. (2025, March 25). What the public thinks about AI and the implications for governance. Brookings TechTank. [Link](https://www.brookings.edu/?p=1812651)

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 (SSRN Scholarly Paper 5108572). Social Science Research Network. [SSRN](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5108572)

Schiff, D. S., Schiff, K. J., & Bueno, N. (2024, May 30). Watch out for false claims of deepfakes, and actual deepfakes, this election year. Brookings. [Link](https://www.brookings.edu/articles/watch-out-for-false-claims-of-deepfakes-and-actual-deepfakes-this-election-year)

Schiff, D. S., & Schiff, K. J. (2023, November 7). Generative AI like ChatGPT could help boost democracy – if it overcomes key hurdles. The Conversation. [DOI](https://doi.org/10.64628/AAI.w4vxq9ujc)

UC Berkeley AI Risk-Management Standards Profile for General-Purpose AI Systems (GPAIS) and Foundation Models, Contributor

IEEE. (2020). 7010-2020—IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being, Secretary. [DOI](https://doi.org/10.1109/IEEESTD.2020.9084219)

Schiff, K. J., Schiff, D., & Bueno, N. S. 10 Things to Know About Pilot Studies. Evidence in Governance and Politics. [Link](https://egap.org/resource/10-things-to-know-about-pilot-studies)

The 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, Author on chapters on Public policy and Well-being.

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), n2. [DOI](https://doi.org/10.1001/amajethics.2019.138)


## Works Under Revision or Review

Enwereazu, O.*, Schiff, K. J.*, Girard, T.*, Wilhelm, A.*, & Schiff, D. S.* A public value framework for AI governance: Evidence from US federal AI policymaking.

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.

Schiff, D. S., Schiff, K. J., Kelley, S., McCrain, J., & Adams, I. Values Guiding AI Adoption Differ Between the Public and Private Sectors.

Schiff, D. S.*, Schiff, K. J.*, Wilhelm, A.*, & Girard, T.* Responsible AI Commitments Build Consumer Trust. [OSF](https://osf.io/7cp6z)

Walker, C.*, Birrer, A.*, Wack, M.*, Schiff, K. J.*, Schiff, D. S.*, & Messina, J. P.* Beyond Deception: A Functional Typology of Political Deepfakes. [SSRN](https://papers.ssrn.com/abstract=5717943)

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.

Lin, G.*, Lin, L.*, Walker, C. P., Schiff, D. S., & Hu, S.. Fit for Purpose? Deepfake Detection in the Real World (arXiv:2510.16556). [DOI](https://doi.org/10.48550/arXiv.2510.16556)

Robinson, C. G. #, Schiff, D. S. ^, Schiff, K. J., McCrain, J., Adams, I., & Mourtgos, S. Technology use and governance in local US police departments.

Watson, A., Richards, G., & Schiff, D. Explain first, trust later: LLM-augmented explanations for graph-based crypto anomaly detection. [DOI](https://doi.org/10.48550/arXiv.2506.14933)


## Conference Presentations

Schiff, D. S. (2026). Invited speaker for Open Problems in Frontier AI Risk Management. 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.

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.

Walker, C., Bueno, N. S., Schiff, D. S., & Schiff, K. J. (2025). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. Association for Public Policy Analysis and Management 2025 Fall Research Conference, Seattle, Washington.

Schiff, D. S., Schiff, K. J., Wilhelm, A., & Girard, T. (2025). The Influence of Information and Audits on the Public’s Perception of AI. Association for Public Policy Analysis and Management 2025 Fall Research Conference, Seattle, Washington.

Chung, C. H., & Schiff, D. S. (2025). Governing AI: Legislative Preferences and Challenges in Korea’s National Assembly. Association for Public Policy Analysis and Management 2025 Fall Research Conference, Seattle, Washington.

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, CA.

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, CA.

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, CA.

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, CA.

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, CA.

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, CA.

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.

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? Midwestern Political Science Association Annual Meeting, Chicago, IL.

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. Midwestern Political Science Association Annual Meeting, Chicago, IL.

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. Midwestern Political Science Association Annual Meeting, Chicago, IL.

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. Midwestern Political Science Association Annual Meeting, Chicago, IL.

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. Midwestern Political Science Association Annual Meeting, Chicago, IL.

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. Midwestern Political Science Association Annual Meeting, Chicago, IL.

Patil, I., & Schiff, D. S. (2025, April 4). Mapping Beliefs and Resources: Insights on Stakeholder Power in AI Policy. Midwestern Political Science Association Annual Meeting, Chicago, IL.

Walker, C. P., Bueno, N. S., Schiff, D. S., & Schiff, K. J. (2025, April 4). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. Midwestern Political Science Association Annual Meeting, Chicago, IL.

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.

Enwereazu, O, Schiff, K. J., Schiff, D. S., Girard, T., & Wilhelm, A. (2024, December 13). Public Administration Symposium: Ethical, Responsible, and Value-Oriented Use of Artificial Intelligence in Public Organizations. Online.

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.

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.

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.

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.

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.

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.

Patil, I., Schiff, D. S., & Schiff, K. J. (2024, September 6). AI, Policy, and Power. Annual Meeting of the American Political Science Association, Philadelphia, PA.

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.

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.

Chung, C. & Schiff, D. S. (2024, April 6). Justice in the Algorithmic Age: Renegotiating the Social Contract in the Era of AI. Midwestern Political Science Association, Chicago, IL.

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. Midwestern Political Science Association, Chicago, IL.

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. Midwestern Political Science Association, Chicago, IL.

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. Midwestern Political Science Association, Chicago, IL.

Patil, I., & Schiff, D. S. (2024, April 4). Operationalizing Ethics in AI Ethics Auditing: Drivers and Challenges. Midwestern Political Science Association, Chicago, IL.

Patil, I., & Schiff, D. S. (2024, April 4). AI, Policy, & Power. Midwestern Political Science Association, Chicago, IL.

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, Cincinnati, OH.

Schiff, K. J., Schiff, D. S., & Dietrich, B. (2024). 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.

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.

Chung, C. H., & Schiff, D. S. (2024, February 23). 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.

Patil, I., & Schiff, D. S. (2024, February 23). AI, Policy, & Power. Annual Conference of the Association for Practical and Professional Ethics.

Schiff, D. S., Schiff, K. J., Kelley, S., McCrain, J., & Adams, I. (2023, November 23). Ethical Considerations for AI in Human Resource Management. Fall Research Conference of the American Association for Public Policy Analysis and Management.

Schiff, D. & Lee, J. (2022, November 19). Influences and Inhibitors in Undergraduate Social Responsibility Development: Evidence from a Mixed-Methods Longitudinal Study. Fall Research Conference of the American Association for Public Policy Analysis and Management.

Schiff, D. & 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.

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.

Schiff, D. (2022, March 28). Setting the Agenda for Artificial Intelligence Policy: Issue Frames in Public and Policy Discourse. Fall Research Conference of the American Association for Public Policy Analysis and Management.

Schiff, D. & Schiff, K. J. (2022, March 28). Does Reason or Passion Drive Agenda-Setting for AI Policy? Evidence from a Field Experiment. Fall Research Conference of the American Association for Public Policy Analysis and Management.

Schiff, D. & 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.

Schiff, D., 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.

Schiff, D. & Schiff, K. J. (2021, July 21). Reason and Passion in Agenda-Setting: Influence Dynamics in AI Policy. Elites & Experiments Conference, virtual.

Schiff, D., Schiff, K. J., & Bueno, N. S. (2020, November 12). The Liar's Dividend: How Misinformation About Misinformation Affects Politician Support and Trust in Media. Fall Research Conference of the American Association for Public Policy Analysis and Management.

Schiff, D. (2020, October 13). IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence. IEEE International Systems, Man, and Cybernetics Conference.

Schiff, D., Bogdana, R., Ayesh, A., Fanta, A., & Lennon, M. (2020, September 7). Principles to Practices for Responsible AI: Closing the Gap. European Conference on AI, Workshop on AI for Equity.

Schiff, D., 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.

Schiff, K. J. & Schiff, D. (2020, June 11). The Liar’s Dividend: The Impact of Deepfakes and Fake News on Politician Support and Trust in Media. Harvard Experimental PolSci Conference.

Schiff, D., Biddle, J., Borenstein, J., and 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, NY, NY.

Schiff, D., 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.

Schiff, D. & Joyner, D. (2019, October 4). Designing Technology for Online Adult Education. Panel session at American Psychological Association, Technology, Mind, & Society Conference, Washington, D.C.

Schiff, D. (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.

Schiff, D., Herzog, L., & Farley-Ripple, E. (2015, April 19). Teacher networks in Philadelphia: Landscape, engagement, and value. American Educational Research Association, Chicago, IL

Schiff, D. (2015, February 28). Teacher networks in Philadelphia: The current landscape. Presentation at Grow in Greater Philly, Philadelphia, PA.


## Poster Presentations

Ahn, C. Schiff, K. J., Schiff, D.S., Peskowitz, Z., Lu, Y., Liu, Y. (2024). Addressing Challenges in AI Public Opinion Research: Introducing the AI SHARE Database: Poster session presented at Navigating the New Frontier: The Political and Economic Implications of AI. California Institute of Technology, Pasadena, CA.

Barkhuff, G., Borenstein, J., Schiff, D., Uchidiuno, J., & Zegura, E. (2024). Considerations for Improving Comprehensive Undergraduate Computing Ethics Education. ACM SIGSCE.

Wiese, L., Schiff, D., and Magana, A. (2023, May 18). Being Proactive for Responsible AI: Analyzing Multiple Sectors for Innovation via Systematic Literature Review. Poster session presented at IEEE-ETHICS 2023, Purdue University, IN.

Schiff, D., Laas, K., Borenstein, J., and Biddle, J. (2020, January 27). What’s Next for AI Ethics, Policy, and Governance? A Global Overview. Poster session presented at CRIDC Conference, Georgia Institute of Technology, Atlanta, GA.

Schiff, D. & Nazareno, L. (2019, November 7). How Automation and AI Affect Worker Well-Being: Looking Beyond Displacement and Wages. Poster session presented at the Fall Research Conference of the Association for Policy Analysis and Management, Denver, CO.

Schiff, D. & Nazareno, L. (2019, October 14). Beyond Labor Displacement: The Impact of Automation and AI on Worker Well-being. Poster session presented at Atlanta Conference on Science and Technology Policy, Atlanta, GA.

Ganz, S. & Schiff, D. (2018, October 26). Identifying Political Coalitions in the Baseball Writers Association: An agony-based approach. Poster session presented at CRIDC Conference, Georgia Institute of Technology, Atlanta, GA.

Herzog, L. & Schiff, D. (2014, April 8). Teacher networks in Philadelphia: The current landscape. Poster session presented at the Mid-Atlantic Regional Educational Laboratory Research, Policy and Practice Conference, Philadelphia, PA.

Schlesinger, K., Schiff, D., & Robertson-Kraft, C. (2014, April 6). Design and implementation of a Student Growth Objective system for educators in non-core subjects. Poster session presented at the meeting of the American Educational Research Association, Philadelphia, PA.


## Invited Talks, Panels, and Public Engagement

Schiff, D. S. (2025). Guest speaker for AI and the Next Chapter of Humanity: A Conversation with Dr. Daniel S. Schiff. The Internet is Crack Podcast, Virtual.

Schiff, D. S. (2025). Invited guest lecturer for Debates, Dilemmas, and Decisions in AI Policy. AI & Society, John Martinson Honors College, Purdue University, West Lafayette, IN.

Schiff, D. S., Lim, S., Messina, J. P., & Yeomans, C. L. (2025). Invited panelist for AI and the Public Trust Paradox. Pizza and Politics, Center for C-SPAN Scholarship and Engagement, Purdue University, West Lafayette, IN.

Schiff, D. S., Loewen, P. J., Agnolin, P., Albrecht, E., Himmelreich, J., & Jones, J. J. (2025). Invited participant in roundtable discussion on Algorithmic Reality & Policy Directions. Symposium on Rewiring Democracy for Algorithmic Realities, Institution for Social and Policy Studies, Yale University, New Haven, CT.

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.

Schiff, D. S. & Schiff, K. J. (2025). Invited speaker for Deepfakes, Misinformation, and the Future of Digital Trust. President’s Council Back to Class 2025, Purdue for Life Foundation, Purdue University, West Lafayette, IN. [Video](https://www.youtube.com/watch?v=3fPwr0f6-ww)

Schiff, D. S. (2025). Invited speaker for Contested Terrain: Emerging Trends in AI Policy and Governance. Purdue Online MS in AI, West Lafayette, IN.

Schiff, D. S. (2025). Invited speaker for Muddling Through Ethical, Pedagogical, and Institutional Challenges of AI in Education. Opus College of Engineering, Marquette University.

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). Invited panelist for Regulating AI Companions: Impacts on Children and Teens. Moderated forum co-hosted by the Academic Alliance for AI Policy and Public Citizen, Virtual. [Video](https://www.youtube.com/watch?v=3fPwr0f6-ww)

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. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

Schiff, D. S., Goldman, E., Nkonde, M., Nagawa, M., Caroli, L., & Weil, G. (2025). Invited moderator and panelist for AI in Public Policy: Balancing Innovation, Regulation, and Public Trust. World Salon Digital Fireside Series, Columbia University.

Schiff, D. S. (2025). Invited keynote speaker for AI Governance for Regulatory Boards: Foundations and Challenges. Federation of Associations of Regulatory Boards.

Schiff, D. S. (2025). Invited keynote speaker for Teaching for Tomorrow: AI Dilemmas and Opportunities in Vocational Education. International Online Forum on Digital Transformation in Vocational Education, SKLAD and International Academy of Pedagogy Foundation. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

Schiff, D. S. (2025). Invited guest lecturer for AI Governance Unpacked: Key Debates, Dilemmas, and What Comes Next? ME 492: Technology and Values, School of Mechanical Engineering, Purdue University, West Lafayette, Indiana.

Schiff, D. S., Schiff, K. J., Wilhelm, A., & Girard, T. (2025). Invited speaker for Certifying Trust: The Influence of Ethics Commitments and Audits on Public Trust in AI at AI and Democratic Governance: Challenges, Oversight, and Potential. Institution for Social and Policy Studies, Yale University, New Haven, CT.

Schiff, D. S. (2025). Guest lecturer on Privacy, Law & Regulation in Learning at Purdue in the Era of AI, John Martinson Honors College, Purdue University, West Lafayette, Indiana.

Schiff, D. S. (2025). Invited speaker for Digital Transformation in Health: A Primer on AI Governance and Ethics. Leading Digital Transformation in Health and Care for Scotland, NHS Education for Scotland, Scotland, UK.

Schiff, D. S. (2025). Invited keynote speaker for Teaching Machines to Teach: Balancing AI Innovation and Responsibility in Education, Kaltura.

Schiff, D. S. (2025). Invited panelist for Public Service in the Age of Artificial Intelligence. Center for Excellence and Research in Public Service, School of Public Affairs and Administration, Western Michigan University, Kalamazoo, MI.

Schiff, D. S. (2025). Invited speaker for Do You Know Where Your Children Are? Deepfakes in the Classroom. Problematizing Education & Digital Technology, Critical Studies of Education & Technology (CSET 2025), Tippecanoe County Public Library, West Lafayette, IN.

Schiff, D. S., Katsanevas, A., Young, M., Zhang, B., & Aaronson, S. A. (2025). Invited panelist for Who Participates in Participatory AI and How Can We Make AI More Participatory? TrailsCon 2025, Institute for Trustworthy AI in Law and Society, George Washington University, Washington, D.C.

Sheehan, M., Schiff, D. S., Narayanan, M., & Arnold, Z. (2024). Panelist for What’s Next in AI Governance? Looking Ahead to 2025. Center for Security and Emerging Technology, Washington, D.C.

Cotterill, T., Sullivan, M. Whitenack, D., & Schiff, D. S. (2024). Panel on AI Ethics, Privacy and Policy. Moderator and organizer for Google-Purdue Conference on the AI Imperative: Uniting Education, Business and Government, Indianapolis, IN.

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. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

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, the Korea Ministry of Education, and The Korea Economic Daily, Seoul, Korea. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

Bode, L., Costello, T., Wirtschafter, V., & Schiff, D. S. (2024). The Digital Deception Landscape: Academic Insights on Misinformation and Deepfakes. Moderator and organizer for Academic Alliance for AI Policy (AAAIP) inaugural webinar. [Video](https://www.youtube.com/watch?v=3fPwr0f6-ww)

Schiff, D. S. (2024). Debates, Dilemmas, and Decisions in the regulatory landscape. Invited keynote speaker for the 14th Annual Midwest Medical Humanities Conference: AI in Medicine, MI, US. [Video](https://www.youtube.com/watch?v=3fPwr0f6-ww)

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, & National Academic Integrity Network, Limerick, Ireland. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

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. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

Schiff, D. S., Schiff, K.J. (2024). Watering Down Watermarks: The Effectiveness of Labeling Deepfakes. Conference on Navigating the New Frontier: The Political and Economic Implications of AI. California Institute of Technology, Pasadena, CA. [Video](https://www.youtube.com/watch?v=dJe5zbHg-r4)

Schiff, D. S. (2024). Looking Through a Policy Window with Tinted Glasses: Agenda-Setting Dynamics in U.S. AI Policy. Invited speaker for the Center for Intelligent Society and Policy (CISP) Global Symposium on AI, DX, Governance, and Ethics, Seoul National University, South Korea. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

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. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

Schiff, D. (2024). Looking Through a Policy Window with Tinted Glasses: Agenda-Setting Dynamics in U.S. AI Policy. Invited speaker for the Center for the Study of Ethics in Society, Kalamazoo, MI. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

Schiff, D. (2024). The rise of deepfakes: Moving toward multi-layered governance. Guest lecturer for AI Ethics and Society course, West Michigan University, Kalamazoo, MI. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

Schiff, D. (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. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

Schiff, D. S. (2024). AI Tools in Graduate Teaching, Education, and Research. Presenter for Department of Political Science Graduate Student Association. West Lafayette, IN.

Schiff, D. S. (2024). What to Know About Academic Citizenship. Panelist for Department of Political Science Graduate Student Association. West Lafayette, IN. [Video](https://www.youtube.com/watch?v=3fPwr0f6-ww)

Schiff, D. S. (2024). The Rise of AI-Powered Politics. Invited speaker for Center for C-SPAN Scholarship and Engagement. West Lafayette, IN.

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.

Schiff, D. S. & Schiff, K. J. (2023). Teaching in the Age of Generative AI: Resisting, adapting, or embracing? Presentations to Purdue University University-wide forum, Teaching & Learning Community of Practice, and Cornerstone Program, West Lafayette, IN. [Video](https://www.youtube.com/watch?v=cUBi3HnadL8)

Schiff, D. (2023, November). The rise of deepfakes: Moving toward multi-layered governance. Invited speaker for Google and CMU AI Symposium: Washington, D.C. [Video](https://www.youtube.com/watch?v=cUBi3HnadL8)

Schiff, D. (2023, November). Looking through a policy window with tinted glasses: Agenda-setting dynamics in U.S. AI policy. Invited speaker for CLSAC 2023: Annapolis, MD. [Video](https://www.youtube.com/watch?v=0Brg-QfrzzA)

Schiff, D. (2023, October). 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: State College, PA. [Video](https://www.youtube.com/watch?v=cUBi3HnadL8)

Schiff, D. (2023, August). 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. [Video](https://www.youtube.com/watch?v=cUBi3HnadL8)

Schiff, D. (2023, August). Implications of AI for Research Ethics. Presentation to Purdue University IRB, West Lafayette, IN. [Video](https://www.youtube.com/watch?v=cUBi3HnadL8)

Schiff, D. (2023, July). Issues in AI and economic development: labor, human resources, and education. Presentation to Crawfordsville Economic Development Forum, Crawfordsville, IN. [Video](https://www.youtube.com/watch?v=cUBi3HnadL8)

Schiff, D. (2023, July). Responsible AI in consumer insights. Invited speaker for Insight Extravaganza 2023. [Video](https://www.youtube.com/watch?v=cUBi3HnadL8)

Schiff, D. (2023, May). 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, IN. [Video](https://www.youtube.com/watch?v=cUBi3HnadL8)

Schiff, D. (2023, May). Perspectives from Liberal Arts on the Practical Turn in AI Ethics. Organizer and moderator for IEEE-ETHICS, Purdue University, IN. [Video](https://www.youtube.com/watch?v=cUBi3HnadL8)

Schiff, D. (2023, May). Careers in Technology Ethics. Panelist for IEEE-ETHICS, Purdue University, IN. [Video](https://www.youtube.com/watch?v=cUBi3HnadL8)

Schiff, D. (2022, September 27). Can We Standardize AI Ethics? Insights from IEEE 7010-2020 and US- EU AI Governance Efforts. Congreso Internacional en Normalización, Estándares y Calidad Universitaria (CINECU), Madrid, Spain. [Video](https://www.youtube.com/watch?v=KvuhlyV4hVg)

Schiff, D. (2022, October 27). AI Ethics and Governance: Emerging Questions and Career Pathways. Invited Speaker for Duke University, Science & Society, Durham, NC.

Schiff, D. (2022, June 28). Policy, ethics, social science careers in AI. Invited Speaker for AI4ALL, Columbia University, NY, NY.

Schiff, D. (2021, June 9). The Impact of Artificial Intelligence/Robots on Education. Invited panelist at Global Conference on Education and Research, University of South Florida. [Video](https://youtu.be/nJZvOuHapuQ?t=366)

Schiff, D. (2020, March). AI Ethics and Policy: America's Place in Global AI Governance. Presentation to Foreign Policy Association, Great Decisions series, Atlanta, GA. [Video](https://underline.io/events/24/sessions/464/lecture/2208-principles-to-practices-for-responsible-ai-closing-the-gap)

Schiff, D., & Topor, L. (2020, January 10). Politics, Big Data, and New Technology: The State of the Field. Panelist at Southern Political Science Association, San Juan, PR. [Video](https://underline.io/events/24/sessions/464/lecture/2208-principles-to-practices-for-responsible-ai-closing-the-gap)

Schiff, D. (2019, September 5). Preparing Georgia Stakeholders for the AI Revolution. Presentation to Science, Technology, and Innovation Policy Program, Atlanta, GA.

Schiff, D. (2016, May 18). Philadelphia education funding or the lack thereof. Presentation 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)

Steering Committee Member, Academic Alliance for AI Policy (AAAIP)

Member, Police Accountability and Policy Evaluation Research (PAPER) Lab

Member, Tech Justice Lab

Expert Advisory Board Member, Fidutam (largest youth-led Tech NGO)

Advisory Board Member, AI 2030

Memberships

American Association for the Advancement of Science (AAAS)

American Political Science Association (APSA)

Association for the Advancement of Artificial Intelligence (AAAI)

Association of 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)

Midwestern 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)

AI and Ethics (2)

AI & Society (6)

American Medical Association Journal of Ethics (1)

American Political Science Review (1)

American Psychologist (2)

Applied AI Letters (1)

Applied Artificial Intelligence (1)

AI for Engineering Design, Analysis and Manufacturing (2)

Big Data & Society (5)

dg.o (Conference on Digital Government Research) (3)

Data & Policy (1)

Digital Society (1)

Discover Artificial Intelligence (2)

European Conference on Information Systems (1)

Frontiers in Human Dynamics (1)

Global Policy & Governance (1)

Handbook of Global AI Governance (1)

Handbook of Human-Centered AI (1)

IEEE ETHICS (3)

IEEE Transactions on Technology & Society (3)

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 Politics (3)

Journal of Public Administration Research and Theory (4)

Journal of Experimental & Theoretical Artificial Intelligence (1)

Mindtrek (1)

Minerva (1)

NSF Social and Economic Sciences Division (1)

NSF Technology, Innovation, and Partnerships Directorate (1)

Police Practice and Research (2)

Policy Studies Journal (2)

Postdigital Science and Education (1)

Proceedings of the National Academy of Sciences (2)

Public Administration (6)

Public Administration Review (4)

Public Management Review (1)

Regulation & Governance (1)

Research Policy (2)

Review of Education Research (1)

Review of Policy Research (1)

Science and Engineering Ethics (4)

Singapore Education Research Funding Programme (2)

Social Science Research (1)

Studies in Higher Education (1)

Switzerland National Science Foundation (1)

Technology in Society (2)

Program Committees and Conference Activities:

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)

Co-Organizer, Politics of AI Workshop (PAW), MPSA (2025, 2026)

PC, Wharton Accountable AI Research Conference, University of Pennsylvania (2026)

PC, dg.o (Conference on Digital Government Research) (2025, 2026)

PC, IEEE-ETHICS (2025)

PC, Institute for Safe and Ethical AI Pre-conference for the Paris AI Action Summit (2025)

Organizer, Policing Research Workshop at the University of Utah (2024)

PC, ACM Conference on Fairness, Accountability, and Transparency (2023, 2025, 2026)

PC, AAAI/ACM Conference on AI, Ethics, and Society (2023, 2024, 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 – Ongoing Institutional Data and AI Ethics Review Board, Purdue University

2016 – Ongoing Young Professionals Council, Field Center for Children’s Policy, Practice & Research, University of Pennsylvania

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

National Science Foundation, Science of Science: From Prediction to Policy: How AI Labor Research Influences Stakeholder Beliefs and Regulatory Preferences, 2025-2027 ($210,000) [NSF Award](https://www.nsf.gov/awardsearch/show-award?AWD_ID=2524000)

American Political Science Association Best Public Policy Paper Award (2025) [APSA Section 4](https://apsanet.org/membership/organized-sections/section4/)

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)

Future of Life Institute, The Political Deepfakes Incidents Database: Tracking Societal Risks and Informing Mitigation Efforts, 2024, PI ($5,000)

Arnold Ventures, LEAD-R: Law Enforcement Administrative Data for Research, 2024, Co-PI ($184,374)

Rapoport Family Foundation, Translating AI Literacy into Public Participation in AI Policy, 2024, Co-PI ($5,000)

Purdue University Ross-Lynn Postdoctoral Fellow Advisor, 2024–25, Co-PI (~$175,000)

Purdue University Office of Research, Predicting the Impacts of Artificial Intelligence on Workers: A Systematic Literature Review, 2024, PI ($10,000)

Bankinter Consumer Finance Award in Business Ethics (4th prize), 2024 (€500 EU)

Purdue University Innovation Hub, Seed funding for Applied Ethics in AI within the Context of Cybersecurity Education, 2024, Co-PI ($40,000)

Purdue Special Employee Recognition Award, 2024 ($1,500)

National Institute of Justice Award No. 15PNIJ-23-GG-05487-RESS, Policing Leadership and Accountability: Harnessing Big Data and Causal Inference for Evaluating Police Reform Practices, 2024-25, Co-PI, ($972,000) [NIJ Award](https://nij.ojp.gov/funding/awards/15pnij-23-gg-05487-ress)

Google Research gift for Undergraduate Student AI Literacy in the U.S., Germany, and U.K, 2023 ($5000)

National Institute of Justice Innovations in Measuring Community Perceptions Challenge, 2023 ($700)

Purdue University Office of Research, Seed funding for Foundations and Cracks in Achieving Ethical Action Through AI Education: A Systematic Review, Co-PI ($10,000)

William H. Read Award, Outstanding Graduate Student in Public Policy, 2022 ($1000)

Best paper award for American Society for Engineering Education Engineering Ethics Division, best paper for Professional Interest Council 1, finalist for best overall paper, 2022.

NSF Ethical and Responsible Research (ER2) Grant No. 2124745, Broadening Participation in Computing Ethics Curriculum Development, 2021-24, Faculty Associate, ($400,000) [NSF Award](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2124745)

Georgia Institute of Technology Institute Fellowship, 2017-21 ($10,000)

Georgia Institute of Technology President’s Fellowship, 2017-21 ($20,000)

Ivan Allen Liberal Arts Graduate Essay Competition, Winner, 2021 ($1500); Runner-up, 2019 ($1000)

James D. Foley GVU Graduate Student Award, Foley Scholars Finalist, 2020

CRIDC Graduate Student Conference Poster Competition, Provost’s Award, 2020 ($2000)

Enterprise Innovation Institute, Science Technology and Innovation Policy Award, 2019 ($6000)

Princeton University Center for Human Values Summer Research Grant, 2011 ($700)


## Media and Industry Coverage

Founding the Responsible AI Initiative at JPMC: JP Morgan Chase & Co. Annual Shareholder Letter, CBS News, CNBC, Yahoo Finance, Reuters, Bloomberg, US News & World Report, Fox Business, Benzinga, MIT Technology Review, FinTech Magazine, Evident AI Index, American Banker, The AI Journal, Fortune [JP Morgan Chase Annual Shareholder Letter](https://reports.jpmorganchase.com/investor-relations/2022/ar-ceo-letters.htm) | [CBS News](https://www.cbsnews.com/news/jamie-dimon-jpmorgan-chase-ceo-shareholder-letter-banking-crisis/) | [CNBC](https://www.cnbc.com/2023/04/04/jpmorgans-jamie-dimon-says-banking-crisis-is-not-over-yet.html) | [MIT Technology Review](https://www.technologyreview.com/2023/02/14/1066582/deploying-a-multidisciplinary-strategy-with-embedded-responsible-ai/) | [Fortune](https://fortune.com/2023/01/26/jpmorgan-chase-tops-first-of-its-kind-ranking-of-a-i-progress-in-banking/) | [American Banker](https://www.americanbanker.com/news/jpmorgan-chase-rbc-citi-score-high-on-evidents-ai-maturity-index) | [VentureBeat](https://venturebeat.com/2021/08/13/ai-weekly-the-road-to-ethical-adoption-of-ai/) | [Montreal AI Ethics Institute](https://montrealethics.ai/explaining-the-principles-to-practices-gap-in-ai/) | [Yahoo Finance](https://finance.yahoo.com/news/jamie-dimon-calls-ai-absolute-163720842.html) | [Bloomberg](https://www.bloomberg.com/news/articles/2023-04-04/jamie-dimon-jabs-fed-over-us-bank-crisis-hiding-in-plain-sight?srnd=premium&leadSource=uverify%20wall) | [US News & World Report](https://money.usnews.com/investing/news/articles/2023-04-04/factbox-jpmorgans-dimon-comments-on-banking-crisis-and-ai-in-annual-letter) | [Fox Business](https://www.foxbusiness.com/markets/jamie-dimon-calls-ai-absolute-necessity-warns-bad-guys-using-it-too) | [Benzinga](https://www.benzinga.com/government/23/04/31655783/jamie-dimons-candid-shareholder-letter-5-crucial-topics-from-the-jpmorgan-ceo-banking-government-inf) | [FinTech Magazine](https://fintechmagazine.com/articles/evident-ai-report-which-banks-are-winning-the-ai-race) | [Evident AI Index](https://www.evidentinsights.com/ai-index/) | [The AI Journal](https://aijourn.com/evident-ai-index-reveals-the-three-banks-breaking-away-in-the-ai-race-2/)

Impact of AI on Labor and Worker Well-being: Brookings Institution, WHYY, Inc, ScienceDaily, Phys.org, [Brookings Institution](https://www.brookings.edu/articles/keeping-workers-safe-in-the-automation-revolution/) | [The Register](https://www.theregister.com/2021/10/29/impact_of_ai_and_automation_on_workers/) | [ScienceDaily](https://www.sciencedaily.com/releases/2021/10/211028174510.htm) | [Phys.org](https://phys.org/news/2021-10-benefits-automation-ai-worker-well-being.html) | [Mirage](https://www.miragenews.com/technologys-impact-on-worker-well-being-662076/)

Mirage, WorldHealth.net, The Register, Forbes [New York Times](https://www.nytimes.com/2024/09/24/health/ai-patient-messages-mychart.html) | [Medscape](https://www.medscape.com/viewarticle/deepfake-doctors-how-ai-spreads-medical-disinformation-2025a1000pwh)

Responsible AI in Industry: Forbes, ServiceNow, MIT Horizon, VentureBeat, Montreal AI Ethics Institute, TechBetter [ServiceNow](https://www.servicenow.com/workflow/customer-experience/experience-age-ai.htmlfk%3D&reserved=0) | [TechBetter](https://techbetter.substack.com/p/ai-ethics-audits-trends-limitations)

AI Policy: London School of Economics Blog, Inside Indiana Business, Policy Studies Journal Blog, The Hill, Communications of the ACM, The National Desk, Marketplace [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/) | [The Hill](https://www.newsbreak.com/news/2901686841418-building-ai-with-democratic-values-starts-with-defining-our-own) | [Marketplace](https://www.marketplace.org/story/2026/01/26/most-americans-concerned-about-ai-even-as-it-drives-economy) | [The Boston Globe](https://www.bostonglobe.com/2026/02/16/nation/ai-bot-gop-legislation/) | [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/) | [Inside Indiana Business](https://www.insideindianabusiness.com/articles/hoosier-universities-join-ai-consortium) | [Politico](https://www.politico.com/newsletters/digital-future-daily/2026/03/11/the-effort-to-keep-ai-bipartisan-00823770)

Impact of AI on Democracy: The Conversation, The National Desk, NextGov, EconoTimes, CNN, The National Desk, The Boston Globe [The Conversation](https://theconversation.com/generative-ai-like-chatgpt-could-help-boost-democracy-if-it-overcomes-key-hurdles-212664) | [NextGov](https://www.nextgov.com/ideas/2023/11/generative-ai-chatgpt-could-help-boost-democracy-if-it-overcomes-key-hurdles/391830)

AI in Education: Inside Higher Ed, LearnTech Podcast, The National Desk, The Conversation, The Economic Times, Tech Policy Press, Montreal AI Ethics Institute [Inside Higher Ed](https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2023/10/24/ai-can-lessen-peer-review-woes-researchers) | [The Conversation](https://theconversation.com/ai-literacy-what-it-is-what-it-isnt-who-needs-it-and-why-its-hard-to-define-256061) | [Tech Policy Press](https://www.techpolicy.press/society-needs-higher-education-to-train-ethical-technologists/) | [The Economic Times](https://economictimes.indiatimes.com/tech/artificial-intelligence/ai-literacy-what-it-is-what-it-isnt-who-needs-it-why-its-hard-to-define/articleshow/121842223.cms) | [Montreal AI Ethics Institute](https://brief.montrealethics.ai/p/the-ai-ethics-brief-184-what-deserves)

Deepfakes and AI in Misinformation: Gizmodo, Brookings Institution, NBC, Center for Social Media and Politics (CSMaP), The National Desk, Brookings TechTank, WISHTV, Tech Policy Press, TIME, CNN, WTHR, TIME, SCRIPPS, The Washington Post, The Atlantic, PolitiFact, MIT Technology Review, The National Desk, Evidence in Governance and Politics (egap), Political Science Now, Frontiers in Social & Behavioral Science, NBC, The Hacker News [Gizmodo](https://gizmodo.com/consequences-of-wartime-deepfakes-major-academic-study-1850959388) | [Brookings Institution](https://www.brookings.edu/articles/the-impact-of-generative-ai-in-a-global-election-year/) | [Brookings TechTank](https://www.brookings.edu/articles/watch-out-for-false-claims-of-deepfakes-and-actual-deepfakes-this-election-year/) | [TIME](https://time.com/7022120/ai-election-misinformation-2024/) | [TIME](https://time.com/7131271/ai-2024-elections/) | [The Atlantic](https://www.theatlantic.com/technology/archive/2024/11/ai-election-propaganda/680677/) | [PolitiFact](https://www.politifact.com/article/2024/dec/19/not-the-ai-election-why-artificial-intelligence-di/) | [MIT Technology Review](https://www.technologyreview.com/2024/06/08/1093356/propagandists-are-using-ai-too-and-companies-need-to-be-open-about-it/) | [NBC News](https://www.nbcnews.com/tech/internet/truth-social-trump-embraced-ai-media-attack-foes-boost-image-rcna234978) | [The Hacker News](https://thehackernews.com/expert-insights/2025/12/purdue-universitys-real-world-deepfake.html) | [WISHTV](https://www.wishtv.com/news/i-team-8/purdue-profs-show-how-deepfakes-could-impact-2024-presidential-election/) | [WTHR](https://www.wthr.com/article/news/investigations/13-investigates/political-deepfake-artificial-intelligence-ai-voting-vote-decision-2024/531-215152fa-8881-4093-82cc-48b127559704) | [Tech Policy Press](https://www.techpolicy.press/poll-finds-widespread-distrust-of-social-media-in-us-election-cycle/) | [Political Science Now](https://politicalsciencenow.com/cry-fake-news-and-gain-support/) | [Evidence in Governance and Politics (egap)](https://egap.org/resource/brief-85-how-politicians-claims-of-fake-news-undermine-political-accountability/) | [SCRIPPS](https://www.denver7.com/politics/disinformation-desk/viral-celebrity-deepfake-ad-warns-of-ai-being-used-trick-you-into-not-voting) | [Frontiers in Social & Behavioral Science](https://www.ssrc.org/frontiers/?_sft_collection=april-2025)

AI and Healthcare: New York Times, Becker’s Hospital Review, Medscape [New York Times](https://www.nytimes.com/2024/09/24/health/ai-patient-messages-mychart.html) | [Medscape](https://www.medscape.com/viewarticle/deepfake-doctors-how-ai-spreads-medical-disinformation-2025a1000pwh)

Other Media Coverage: Information Week, Fox Baltimore, New Zealand Herald, Cincinnati Magazine, InReach, DW News [New Zealand Herald](https://www.nzherald.co.nz/the-listener/business/peter-griffin-the-pros-and-cons-of-ai-what-experts-expect-in-the-next-decade/Q6BSN7KVJBCGZM3FFLMDE4PC4U/) | [Cincinnati Magazine](https://www.cincinnatimagazine.com/article/human-centered-ai/) | [Fox Baltimore](https://foxbaltimore.com/news/nation-world/trump-campaign-hacked-cyberattacks-constant-danger-for-modern-elections-politics-2024-election-microsoft-report-cybersecurity-concerns-iran-russia-china-foreign-malign-influence)


## Policy Coverage

Department of Commerce, National Telecommunications and Information Administration, AI Policy Request for Comment, Docket No. 230407-0093 [NTIA](https://www.ntia.gov/issues/artificial-intelligence/request-for-comments)

Council of Europe, Artificial intelligence and education: A critical view through the lens of human rights, democracy and the rule of law [Council of Europe](https://book.coe.int/en/education-policy/11333-artificial-intelligence-and-education-a-critical-view-through-the-lens-of-human-rights-democracy-and-the-rule-of-law.html)

Organization for Economic Cooperation and Development, Framework for the Classification of AI Systems [OECD](https://www.oecd-ilibrary.org/deliver/cb6d9eca-en.pdf)

Australian National Science Agency (CSIRO), Artificial Intelligence for Science Report [CSIRO](https://www.csiro.au/en/research/technology-space/ai/artificial-intelligence-for-science-report)

European Agency for Special Needs and Inclusive Education, Inclusive Education Report [European Agency](https://www.european-agency.org/resources/publications/inclusive-digital-education)

European Parliament, European framework on ethical aspects of artificial intelligence, robotics and related technologies [European Parliament](https://op.europa.eu/en/publication-detail/-/publication/fd72eb8a-3b63-11eb-b27b-01aa75ed71a1/language-en)


## Teaching Experience

2024-2025 POL 526: Technology, AI, and Ethics in Policy and Public Administration

College of Liberal Arts, Purdue University, West Lafayette, IN

2024 SCLA 102: “AI, Power, & Society”

College of Liberal Arts, Purdue University, West Lafayette, IN

2024 AI Policy & Governance

Micro-credential, Purdue Online, Purdue University, West Lafayette, IN

2023 POL 120: Introduction to Public Policy

College of Liberal Arts, Purdue University, West Lafayette, IN

2020 CS 4001: Computing & Society, Instructor of Record (Syllabus)

College of Computing, Georgia Institute of Technology, Atlanta, GA

2020 “Tech to Teaching” Certificate, Teaching program for future faculty

Georgia Institute of Technology Center for Teaching and Learning

2017 PUBP 3120: Statistical Analysis for Public Policy, Teaching assistant

School of Public Policy, Georgia Institute of Technology, Atlanta, GA

2014 GAFL 703: Statistics for Public Leadership, Teaching assistant

Fels Institute of Government, University of Pennsylvania, Philadelphia, PA


## Mentorship

Mentees/Advisees:

Postdoctoral and Graduate Students:

Chee Hae Chung Postdoctoral Fellow, Purdue University (Co-Supervisor)

Hanna Sistek Postdoctoral Fellow, Purdue University (Co-Supervisor)

Vasu Kaul Postdoctoral Fellow, Purdue University

Arne Bewersdorff Postdoctoral Fellow, Technical University of Munich

Heonuk Ha Postdoctoral Fellow, University of Michigan

Lucas Wiese PhD student, Purdue University (Dissertation Co-Chair)

Indira Patil PhD student, Purdue University (Primary Field Chair)

Bhargavi Ganesh PhD student, University of Edinburgh (Dissertation Committee Member)

(Postdoctoral Fellow, Accountable AI Lab, Wharton, University of Pennsylvania)

Emily Kim PhD Student, Georgia Tech (Dissertation Committee Member) (Postdoctoral Scholar, UCSD)

James Prater TechD student, Purdue University (Dissertation Committee Member)

Cody Trebil TechD student, Purdue University (Dissertation Committee Member)

Bryan DeWitt PhD student, Purdue University (Dissertation Committee Member)

Jide Olugbade PhD student, Georgia Institute of Technology (Dissertation Committee Member)

Adriana Watson PhD student, Purdue University (Dissertation Committee Member)

Yunzhe (“Leo”) Liu PhD student, Purdue University

Jae Woo Lee PhD student, Cambridge University

Michael Kuczajda PhD student, Purdue University (Minor Field Advisor)

Ogadinma Enwereazu PhD student, Purdue University

Christina Walker PhD student, Purdue University (Assistant Professor, University of Georgia)

Alex Wilhelm PhD student, Purdue University (Dissertation Committee Member) (Assistant

Professor, Kennesaw State University)

Quintin Kreth PhD Student, Georgia Tech (Postdoctoral Fellow, University of Michigan)

Chloe Ahn PhD student, University of Pennsylvania

Chandler Robinson PhD student, University of Utah

Sue Bae PhD Student, Georgia Institute of Technology

Yaosheng Xu PhD student, Purdue University

Victor Amuzu PhD Student, Virginia Commonwealth University

Selen Dogan Kosterit PhD Student, Purdue University

Cory Alpert PhD Student, University of Melbourne

Ibtihal Ferwana PhD Student, University of Illinois

Mazie Bernard PhD Student, Purdue University

Marie Hornberger PhD Student, Technical University of Munich

Masters and Undergraduate Students:

Anjali Bhati MS Student, Purdue University

Jack Wang MA student, University of Chicago

Hardik Amin MSAI student, Purdue University

Emma Logevall MS, Georgia Tech

Michael Piseno BA Georgia Tech (MS, Stanford University)

Adam Hafez BA, Purdue University

Haneen Azhar BA, Minerva University

Markian Hromiak BS, Georgia Institute of Technology

Zach Vogel BS, Georgia Tech (MD student, Goucher College)

Student Researchers: Brian Song, Yu Lu, Paige Carter, Tejasvi Nallagundla, Anjali Nookala, Abby Sabella, Henry Kiracofe, Ishan Tripathi, Mackenzie Huryn, Mallika Keralavarma, Tabitha Akoto, Jolin Li, Diya Kalavala, Sharvani Kondapally, Shreya Venkat, Jaahnvi Toolsidas, Anant Gupta, Noelia Alvarez, Annabel Brown, Chatanya Sarin, Teju Raghprasad, Victor Amuzu, Leo Liu, Aayan Agarwal, Parth Joshi, Evan Glenn, Isabella Mulford, Makena Hersh, Paola Salas, Will Dinneen, Alaina Hall, Donovan Luo, Amrit Subramaniam, Jayan Srinivasan, Matthew Hoang Shinners, Muhammad Rizwan, Tasneem Ahmed, Gregory Tolmochow, Nick Berger, Ryan Weidenaar, Sweksha Mehta, Yash Sinhal, Arnav Grover, Haley Hyatt, Kyla MacDonald, Manoranjan Mohan Kumar, Sarina Oliveri Kuhnle, Shiva Shakouri, Sophia Ratliff, Stephanie Nogales, Abigail Snyder, Camille Morrin, Ramani Satishkumar, Sudhanva Anand Deshpande, Maahi Das, Max Kowalski, Paityn Freese, Deona Julary, Riya Padmonkar, Prisha Mungara, Stuthi Sunil, Ryan Rittner, Saahil Mathur, Nakshatra Tondepu, Sarah Mohapatra, Tri Vo, Priyanka Paradkar, Rayed Rahman, Anya Popa, Matthew Catani, Vedant Thakur, Keira Lavelle, Ashley Hung, Philip Dai, Savja Santana, Sowmya Nityakalyanam, Anshika Saxena, David Griffin, Aadya Pawar, Andrew Chen, Bernadette Slattery, Chloe Tremblay, Katherine Connell, Kye Benford, Lillian Fix, Lydia Windell, Maddi Phillips, Shria Kapisthalam, Tavneet Gadhoke, Ishaan Singh, Jaren Peters, Seunghyun “Carter” Yoo, Alexandra Workman, Parinita Kadamby, Efua Asamani-Baah, Jaeyun Kim, Ben Forman, Kalyan Archakam, Madi Gesse, Sarathi Velmurugan, Fareha Afaq, Victoria Iannotti, Megan Xu, Sophia Roberts, Lily Hughbanks, Avi Davu, Kayshav Bhardwaj, Emre Gulec, Urjit Aich, Airton Ludena, Ashley Ko, Austin Lee, Gabe Aguilar, Krista Gross, Zanika Hossain, Chelsy Luna, Aira Chaudhary, Alejandro Gonzalez, Aayushi Sahgal, Josephine Bradley, Shely Dash.


## 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. 1158863.

Perform mixed-methods research assessing development of social responsibility in college students for NSF Cultivating Communities 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

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