Accountable AI Research Conference

8:00–9:00 a.m.

Registration and Breakfast

Registration in Walnut Street Lobby
Breakfast in Baker Forum

---

9:00–9:20 a.m.

Welcome and Introductions
Kevin Werbach, Faculty Lead, Wharton Accountable AI Lab
Rory Van Loo, Associate Professor of Legal Studies and Business Ethics

Ambani Auditorium, Room G-06

---

Plenary Panel Sessions

9:20–10:40 a.m.

Panel 1: Research and Policy
9:20–10:00 a.m.
Moderator: Christopher Yoo, Imasogie Professor in Law & Technology at the University of Pennsylvania Carey Law School
Panelists:

• Neil Chilson, Head of AI Policy at the Abundance Institute
• Alex Engler, Executive Director of the Penn Center on Media, Technology, and Democracy

Panel 2: Research and Industry Practice
10:00–10:40 a.m.
Moderator: Kevin Werbach, Faculty Lead, Wharton Accountable AI Lab
Panelists:

• Sarah Bird, Chief Product Officer of Responsible AI at Microsoft

• Heather Domin, Vice President and Head of Responsible AI and Governance at HCLTech

• Radha Plumb, AI Leader at AI-First Transformation, IBM; Senior Fellow, Wharton Accountable AI Lab

---

10:40–11:00 a.m.

Break

Baker Forum

---

Paper Session A
11:00 a.m.–12:00 p.m.

Room 1 – F55

• 11:00–11:30 a.m.
  Paul Ohm, Professor, Georgetown Law — Revealing AI’s Latent Rulebook

• 11:30 a.m.–12:00 p.m.
  Christina Lee, Visiting Associate Professor of Law and Privacy and Technology Law Fellow, George Washington University Law School — Developers as AI Agents’ Shadow Principals

Room 2 – F85

• 11:00–11:30 a.m.
  Daniel Schwarcz, Professor, University of Minnesota Law School — The Limits of Regulating AI Safety Through Liability and Insurance: Lessons from Cybersecurity

• 11:30 a.m.–12:00 p.m.
  Anat Lior, Assistant Professor of Law, Drexel University’s Thomas R. Kline School of Law — Fighting AI Harms Together: What Class Actions Can (and Can’t) Do

Room 3 – F95

• 11:00–11:30 a.m.
  Nizan Packin, Professor, Zicklin School of Business, Baruch College, CUNY — Pretexual Privacy Theory

• 11:30–12:00 p.m.
  Niva Elkin-Koren — Transparency by Middleware: How to Address Blind Spots in AI Governance Caused by Self-Reporting

---

12:00–1:00 p.m.

Lunch

Baker Forum

---

Paper Session B

1:00–2:30 p.m.

Room 1 – F55

• 1:00–1:30 p.m.
  Agathe Balayn, Postdoctoral Researcher, Microsoft Research — Responsible AI on the Ground: What Empirical Research Tells Us about Regulating AI

• 1:30–2:00 p.m.
  Artur Pericles Lima Monteiro, Resident Fellow & Schmidt Visiting Scholar on AI, Yale Law School & Jackson School — Scalable Oversight for Regulators

• 2:00–2:30 p.m.
  Neel Guha, JD/PhD Candidate, Stanford Computer Science / Stanford Law School — Designing Application-Specific AI Regulation

Room 2 – F85

• 1:00–1:30 p.m.
  Colleen Chien, Professor, UC Berkeley Law — Inclusion or Exploitation? Mapping the Prevalence and Consequences of Surveillance Pricing

• 1:30–2:00 p.m.
  Jiannan Xu, PhD Candidate, Robert H. Smith School of Business, University of Maryland — AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights

• 2:00–2:30 p.m.
  Ben Hawriluk — LLM Spirals of Delusion: A Benchmarking Audit Study of AI Chatbot Interfaces

Room 3 – F95

• 1:00–1:30 p.m.
  Amit Haim, Assistant Professor, Tel Aviv University Faculty of Law — Untangling Hybrid Decision-Making

• 1:30–2:00 p.m.
  Marco Germanò — Who Is to Blame? Complexity and Accountability in Open-Source AI Systems

• 2:00–2:30 p.m.
  Heonuk Ha, Postdoctoral Research Associate, University of Michigan, Institute for Social Research — Competing (Policy Shifts) Algorithms of Governance: A Comparative Analysis of AI Executive Orders Under Presidents Trump and Biden

---

2:30–3:00 p.m.

Break

Baker Forum

---

Paper Session C

3:00–4:30 p.m.

Room 1 – F55

• 3:00–3:30 p.m.
  Jiawei Zhang, Lloyd M. Robbins Doctor of Juridical Science (J.S.D.) Fellow at UC Berkeley Law School, UC Berkeley Law School — From Deepfake 1.0 to 2.0: Deepfaith in Information Market Dynamics & The First Amendment

• 3:30–4:00 p.m.
  Sepehr Shahshahani, Professor, Washington University Law School — Building a Data Market for AI and Human Creativity

• 4:00–4:30 p.m.
  Madhavi Singh, Deputy Director, Thurman Arnold Project, Yale Law School — Preventing the Monopolies of Today from Monopolizing Tomorrow: Google, AI, and the Next Antitrust Frontier

Room 2 – F85

• 3:00–3:30 p.m.
  Vivek Krishnamurthy, Associate Professor, University of Colorado Law School — Against AI Sovereignty

• 3:30–4:00 p.m.
  Chee Hae Chung, Postdoctoral Research Associate, Purdue University — From Ethics to Policy: Translating AI Ethical Guidelines into Governance Frameworks in Northeast Asia

• 4:00–4:30 p.m.
  Jonathan Iwry, Wharton Accountable AI Lab, Wharton School, University of Pennsylvania — The AI Explainability Gap

Room 3 – F95

• 3:00–3:30 p.m.
  Oumou Ly, Independent Researcher, UC Berkeley, Center for Long-Term Cybersecurity, AI Security Initiative — Stengthening Risk Governance: An AI Risk Management Framework for Investors

• 3:30–4:00 p.m.
  Geneviève Helleringer, University of Oxford  — Judgement of Salomon or of Silicon: Carving a Digital Judgement Rule

• 4:00–4:30 p.m.
  Felix Chen, Emerging Scholar, Princeton University, Center for Information Technology Policy — Measuring the Impact of Google AI Overviews on Search Behavior

---

4:30–5:15 p.m.

Closing Plenary
Kevin Werbach, Faculty Lead, Wharton Accountable AI Lab
Rory Van Loo, Associate Professor of Legal Studies and Business Ethics

Ambani Auditorium, Room G-06