AI

Working papers

• The Agonism Hypothesis for Human-AI Teaming with Elena Gonzalez. Under review, Human-Intelligent Systems Integration.

Peer-reviewed articles

• AI in Society: A Theory Frontiers in Physics 10, 941824, 2022.
• Mood and Force in Defeasible Arguments with John Licato. Argument & Computation 12(3), 2021, 303–328.

Chapters in edited volumes

• Intention When Humans Team with AI In Interdependent Human-Machine Teams, Elsevier, 2025, 235–256.
• An Analogy of Sentence Mood and Use In Systems Engineering and Artificial Intelligence, Springer, 2021, 471–507.
• Problems of Autonomous Agents Following Informal, Open-Textured Rules with John Licato. In Human-Machine Shared Contexts, Elsevier, 2020, 221–240.

Conference proceedings

• Human-AI Teaming: A Review of the National Academy of Sciences Report Proceedings of the Human Factors and Ergonomics Society Annual Meeting, forthcoming.
• Human-AI Teaming: Review of the NAS Report Human Factors in Robots, Drones and Unmanned Systems, AHFE International, 2023.
• What Is Left Unsaid: Formality in Artificial Intelligence with John Licato. Proceedings of the Seventh World Conference on Metaphysics, Pontifical University, 2021.

Policy research and commentary

Writing on AI in government for the Cicero Institute. Other policy writing is listed under Economics.

• Don't Just Buy the Model: When AI in State Government Is a Team-Design Problem with Elena Gonzalez. Cicero Institute, September 2026.
• AI Can Help States Catch Fraud. But Transparency Is a Data Problem First Cicero Institute, May 2026.
• AI and the Future of Work: Policy Lessons from Acemoglu and Restrepo with Hirad Marami. Cicero Institute, February 2026.
• AI Could Lead to a Golden Era of Government Transparency Cicero Institute, October 2025.