Thursday, February 6 – Friday, February 7, 2025
Emory Law School, Atlanta, GA
Agenda
Thursday, February 6, 2025
Location: Nan Thai Fine Dining
7:00 PM:
Evening Reception & Dinner
Vegetarian, vegan, and gluten-free options available.
Friday, February 7, 2025
Location: G575, Emory Law School
8:30 – 9:00 AM:
Continental Breakfast & Registration
9:00 – 9:30 AM:
Introductory Remarks
Ifeoma Ajunwa
Associate Dean for Projects and Partnerships, Asa Griggs Candler Professor of Law, and Founding Director of the A.I. and the Future of Work Program, Emory University School of Law
9:30 – 10:00 AM:
Topic: Unpacking the State-Private Nexus in China’s AI Development Path
Ernest Lim
Professor of Law and Vice Dean at the Faculty of Law, National University of Singapore (NUS)
10:00 – 10:30 AM:
Topic: Unjustifiable Algorithmic Opacity
Ignacio Cofone
Professor of Law and Regulation of AI at University of Oxford, Faculty of Law and Institute for Ethics in AI
Katherine J. Strandburg
Alfred B. Engelberg Professor of Law at NYU School of Law
10:30 – 10:45 AM:
Morning Break
10:45 – 11:15 AM:
Topic: Provenance
Ifeoma Ajunwa
Associate Dean for Projects and Partnerships, the Asa Griggs Candler Professor of Law and the founding director of the A.I. and the Future of Work Program at Emory University School of Law
Kirin Chang
Associate Director & Academic Fellow, A.I. and the Future of Work Program at Emory University School of Law
11:15 – 11:45 AM:
Topic: Regulation and Ethical Challenges in the Era of AI: Perspectives from Latin America
Gabriela Arriagada Bruneau
Assistant Professor (Joint Appointment: Institute of Applied Ethics & Computational and Mathematical Engineering), UC Chile
11:45 AM – 1:00 PM:
Luncheon
Rice bowls, salad, and fruit served.
1:00 – 1:30 PM:
Topic: Generative AI and Copyright: A Dynamic Perspective
Angela Zhang
Professor of Law at the USC Gould School of Law
1:30 – 2:00 PM:
Topic: Antimonopoly as Privacy
Nikolas Guggenberger
Assistant Professor of Law at the University of Houston Law Center
2:00 – 2:15 PM:
Afternoon Break
2:30 – 3:00 PM:
Topic: Regulatory Insights from Governmental Uses of AI
Catherine Sharkey
Segal Family Professor of Regulatory Law and Policy at NYU School of Law
3:00 – 3:30 PM:
Topic: The Data Supply Chain
Vivek Krishnamurthy
Associate Professor of Law and Director of the Samuelson-Glushko Technology Law and Policy Clinic (TLPC) at the University of Colorado Law School
3:30 – 4:00 PM:
Break
4:00 – 4:30 PM:
Topic: Navigating the Global Expansion of Automated Screening
Colleen Chien
Professor of Law at UC Berkeley School of Law
4:30 – 5:00 PM:
Topic: Leveraging Historical Parallels to Shape International AI Regulation
Jake Effoduh
Assistant Professor at the Lincoln Alexander School of Law, Toronto Metropolitan University in Canada
5:00 PM:
Closing Remarks
Anupam Chander
Scott K. Ginsburg Professor of Law and Technology, Georgetown University Law Center
Presenters and Participants
Ifeoma Ajunwa
Ifeoma Ajunwa, JD, LL.M., PhD, is an award-winning tenured law professor and author of the highly acclaimed book, The Quantified Worker, published by Cambridge University Press. She has a second book (with Jeremias Adams-Prassl), The Oxford Handbook on Algorithmic Governance and the Law forthcoming with Oxford University Press. At Emory Law, she is Asa Griggs Candler Professor of Law and founding director of the AI and the Future of Work Program at Emory Law. She is also the associate dean for projects and partnerships at Emory Law (starting January 2024). Dr. Ajunwa’s research interests are global A.i. governance, business and society, privacy, and discrimination issues associated with workplace AI and automated decision-making technologies. Dr. Ajunwa is currently a visiting fellow at Yale Law School’s Information Society Project (ISP). She has been a faculty associate at the Berkman Klein Center at Harvard University since 2017. She was a 2019 recipient of the NSF CAREER Award and a 2018 recipient of the Derrick A. Bell Award from the Association of American Law Schools (AALS). She is an elected member of the American Law Institute and a Life Fellow of the American Bar Foundation. She is a graduate of Yale Law School (Ll.M.) and Columbia University (Ph.D. in Sociology).
Selected Works
AI and Captured Capital, Yale L. J. Forum (2025).
Artificial Intelligence, Afrofuturism, and Economic Justice, 112 Geo. L.J. 1267 (2024).
Automated Governance, 101 N.C.L.Rev 355 (2023).
“Race, Labor, and the Future of Work,” Oxford Handbook of Race and Law in the United States, Eds. Devon Carbado, Emily Houh, and Khiara Bridges (invited Contribution) (2022).
Gabriela Arriagada-Bruneau
Bachelor’s degree in Philosophy from the Pontifical Catholic University of Chile, Master of Science in Philosophy and Ethics from the University of Edinburgh, and a PhD in Philosophy, specializing in Applied Ethics, from the University of Leeds, England. Currently, she is an Assistant Professor of AI and Data Ethics, holding a joint appointment with the Institute of Applied Ethics and the Institute of Mathematical and Computational Engineering. She is also a junior researcher at the National Center for Artificial Intelligence (CENIA), Chile, and the Latin-American Lead for the World Ethical Data Foundation. Her recent projects include developing a sociological methodology to identify biases in AI model development, creating an ethical work guide for technology transfer projects at CENIA, exploring the use of generative AI in education through chatbots and language models, and conducting a gender-perspective diagnosis of AI applications in healthcare in Chile. Gabriela has also participated in expert consultations for UNESCO on the development of ethical guidelines for neurotechnologies and as an expert in discussion panels with the Future Commission of the Chilean Senate for the enactment of the country’s first AI law.
Selected Works
A Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers
Beatriz Botero Arcila
Beatriz Botero Arcila is an Assistant Professor of Law at Sciences Po Paris and a Faculty Associate at the Berkman Klein Center for Internet and Society at Harvard University. She has also worked with the World Bank, Mozilla Foundation and is co-founder of The Edgelands Institute, an institute focused on studying digital surveillance and cities.
Selected Works
Future-Proofing Transparency: Re-Thinking Public Record Governance For the Age of Big Data
Anu Bradford
My work focuses on comparative and international tech regulation, including the regulation of AI. I have written on global battles to regulate technology, focusing on regulatory differences between the United States, China, and the European Union. My work also seeks to shed light on the relationship between AI governance and AI innovation.
Selected Works
The False Choice Between Digital Regulation and Innovation, 119 Nw. U. L. Rev. 377 (2024).
Anupam Chander
Anupam Chander is the Scott K. Ginsburg Professor of Law and Technology at Georgetown. A Harvard College and Yale Law graduate, he is the author of The Electronic Silk Road, published by Yale University Press and co-editor of Data Sovereignty: From the Digital Silk Road to the Return of the State published by Oxford University Press. He practiced law in NY and Hong Kong with Cleary, Gottlieb. He has been a visiting law professor at Yale, Chicago, Stanford, Cornell, Tsinghua, and the University of Hong Kong. A recipient of Google Research Awards and an Andrew Mellon grant, he has consulted for the World Bank, World Economic Forum & UNCTAD, and served as a fellow of the Center for Democracy and Technology. He is an academic member of the Global Network Initiative and the principal book reviews editor of the Journal of International Economic Law. A non-resident fellow at Yale’s Information Society Project and a faculty affiliate at the Berkman Klein Center, he is a member of the American Law Institute.
Selected Works
The Racist Algorithm?, 115 Mich. L. Rev. 1023 (2017).
Artificial Intelligence and Trade, Big Data and Global Trade Law 115-127 (Mira Burri ed., Cambridge: Cambridge University Press 2021).
Data Sovereignty: From the Digital Silk Road to the Return of the State
Cheng-chi “Kirin” Chang
Cheng-chi “Kirin” Chang (張正麒) is the Associate Director & Academic Fellow of the AI and the Future of Work Program at Emory University School of Law. His areas of focus include Law and Technology, Privacy, Intellectual Property, Cybersecurity, International Law, AI and Law, Contracts, Corporations, Corporate Social Responsibility, and emerging technologies. His scholarship has been published or is forthcoming in the Minnesota Law Review (Headnotes), the University of Illinois Law Review (Online, twice), the Georgetown Journal of International Law, the UCLA Journal of International Law and Foreign Affairs, the Richmond Journal of Law and Technology, and the Washington Journal of Law, Technology & Arts, among others.
Selected Works
Taming the Terminator: Pragmatic International AI Weapons Governance, 28 UCLA Journal of International Law and Foreign Affairs _ (forthcoming 2025).
The First Global AI Treaty: Analyzing the Framework Convention on Artificial Intelligence and the EU AI Act, 2024 University of Illinois Law Review (Online) 86 (2024).
Substance Over Symbolism: Do We Need Benefit Corporation Laws?, 109 Minnesota Law Review (Headnotes) 33 (2024) (featured on Oxford Business Law Blog) (SSCI).
Destination ADR: Charting a New Course for Airline Passenger Disputes, 55 Georgetown Journal of International Law 473 (2024) (selected for reprint in 16 American Journal of Mediation 89 (2024)).
Colleen Chien
Colleen Chien is Professor of Law at Berkeley Law School, where she teaches and conducts research on intellectual property, innovation, and criminal justice. She co-directs the Berkeley Center for Law and Technology and advises the Berkeley Criminal Law & Justice Center and the Berkeley Consumer Law Center. She previously served in the Obama White House as Senior Advisor for Intellectual Property and Innovation and in the Biden Administration on the Transition team and also in the Commerce Department working on inclusive innovation initiatives. She leads econometric and empirical research initiatives focused on harnessing the power of AI, data, and automation – while also attending to its perils – in diversity in innovation through the Diversity Pilots Initiative, and in criminal justice reform through the Paper Prisons Initiative.
Selected Works
How Generative AI Can Help Address the Access to Justice Gap Through the Courts, Loyola of Los Angeles Law Review (Forthcoming)
Generative AI and Legal Aid: Results from a Field Study and 100 Use Cases to Bridge the Access to Justice Gap, 57 Loyola of Los Angeles Law Review 903 (2025).
Boosting Patent Quality and Equity with Access to AI and Automation, Regulation (Forthcoming 2024)
Ignacio Cofone
Ignacio is the Professor of Law and Regulation of AI at the University of Oxford, Faculty of Law and Institute for Ethics in AI, and a fellow of Reuben College. His research examines how the law can and should adapt to social and economic changes driven by data and AI. His book, The Privacy Fallacy: Harm and Power in the Information Economy (2024), argues that AI requires restructuring privacy and data protection law based on duties of nonexploitation because basing these bodies of law on individual control has become ineffective. His current work focuses on regulatory design and liability regimes that prevent and redress nonmaterial AI harms, such as discrimination.
Selected Works
The Privacy Fallacy: Harm and Power in the Information Economy
The Overstated Cost of AI Fairness in Criminal Justice
Unjustifiable Algorithmic Opacity
Jake Okechukwu Effoduh
Jake Okechukwu Effoduh is a tenure-track Assistant Professor at the Lincoln Alexander School of Law of the Toronto Metropolitan University in Canada. He teaches a range of technology law courses, including Critical Approaches to Data, Algorithms, and Science in the Law; Big Tech and Social Justice; and Technology Law and Society. With expertise at the intersections of international law, access to justice, and the use of artificial intelligence (AI) in legal processes, Effoduh has informed the regulatory frameworks and policy formulation on AI at the United Nations; the African Union; and for several countries, including the United States, Canada, Brazil, and Nigeria.
Selected Works
Effoduh, J. O “A Global South Perspective to Explainable Artificial Intelligence” (Carnegie Endowment for International Peace) April 2024
Effoduh, J.O “Colonial Judicial Legacy as a Latent Challenge for the Adoption of Algorithmic Sentencing in African Courts” (Opinio Juris), October 2024
Effoduh, J.O. (2024). Artificial Intelligence and Human Rights in Africa. In C Ncube, D Oriakhogba, I Rutenberg, T Schonwetter (eds) Artificial Intelligence and the Law in Africa. LexisNexis
Nikolas Guggenberger
Nikolas Guggenberger is Assistant Professor of Law at the University of Houston Law Center. He also holds an appointment at the Cullen College of Engineering’s Electrical and Computer Engineering Department. Guggenberger’s work focuses on antitrust, law & technology, privacy, and regulation. He has frequently advised government entities and served as expert witness on technology policy, financial markets regulation, and media law in the EU.
Selected Works
Consent as Friction, 66 B.C. L. Rev. (forthcoming 2025).
Moderating Monopolies, Berkeley Technology Law Journal, Vol. 38, No. 1, 2023.
Essential Platforms, 24 Stan. Tech. L. Rev. 237 (2021).
Vivek Krishnamurthy
Vivek Krishnamarthy is an Associate Professor of Law at the University of Colorado and the director of the Samuelson-Glushko Technology Law and Policy Clinic. His research and teaching focus on the impacts of new technologies on human rights and international law. In 2018, Vivek led a project funded by the Canadian government to examine the human rights impacts of artificial intelligence. The report he co-authored with colleagues at Harvard’s Berkman Klein Center remains one of the most widely cited works in the AI and human rights literature, notable for the approach it proposes to evaluate the human rights impacts of AI. Vivek’s subsequent work continues to explore the human rights impacts of AI, as well as the business models through which such technologies are made available to a wide range of actors. His current research considers how long-forgotten bodies of public international law, such as the law of the sea, can inform the governance of emerging technologies and their human rights implications.
Selected Works
Artificial Intelligence & Human Rights: Opportunities & Risks
Ernest Lim
Ernest Lim is Professor of Law and Vice Dean at the Faculty of Law, National University of Singapore (NUS). He obtained his DPhil (PhD) and BCL from Oxford University, LLM from Harvard Law School and LLB from NUS. A prize-winning researcher, he reconceptualizes and deploys his research expertise—comparative corporate governance and private law—to address the challenges posed by AI. He has edited a CUP Handbook on the implications of AI for private law, and has published on AI fairness reporting, and the implications of AI for corporate law, corporate governance and commercial law. He is currently working on authoritarian regimes and AI, a theory of legally non-actionable harms posed by Gen AI, and comparative AI adjudication. In recognition of his research, he has been invited to deliver distinguished and keynote lectures at University College London, University of Hong Kong and University of Groningen, and was elected to the Robert S Campbell Visiting Fellowship at Magdalen College, Oxford. Prior to joining academia, he practised corporate and securities law in the New York and Hong Kong offices of Davis Polk & Wardwell LLP.
Selected Works
The Cambridge Handbook of Private Law and Artificial Intelligence (Cambridge University Press, 2024) (with co-editor P Morgan) i-xxvi + 672 pages
“Law by Algorithm” (2023) 43 Oxford Journal of Legal Studies 650-670
“A Legal Framework for Artificial Intelligence Fairness Reporting” (2022) 81 Cambridge Law Journal 610-644 (with JQ Yap)
“Technology vs Ideology: How Far will Artificial Intelligence and Distributed Ledger Technology Transform Corporate Governance and Business?” (2021) 18 Berkeley Business Law Journal 1-64 (with HY Chiu)
“Managing Corporations’ Risk in Adopting Artificial Intelligence: A Corporate Responsibility Paradigm” (2021) 20 Washington University Global Studies Law Review 347-389 (with HY Chiu)
Paul Ohm
Paul Ohm is a Professor of Law at the Georgetown University Law Center in Washington, D.C. In his research, service, and teaching, Professor Ohm builds bridges between computer science and law, utilizing his training and experience as a lawyer, policymaker, computer programmer, and network systems administrator. His research focuses on information privacy, computer crime law, surveillance, technology and the law, and artificial intelligence and the law. Professor Ohm has published landmark articles about the failure of anonymization, the Fourth Amendment and new technology, and broadband privacy. His work has defined fields of scholarly inquiry and influenced policymakers around the world.
Selected Works
Focusing on Fine-Tuning: Understanding the Four Pathways for Shaping Generative AI, 25 U.C. Davis Law Review 214 (2024)
Governance Seams, 37 Harvard Journal of Law and Technology 1117 (2024) (with Brett Frischmann)
Desirable Inefficiency, 32 Florida Law Review 357 (2018) (with Jonathan Frankle)
Catherine Sharkey
Catherine Sharkey is the Segal Family Professor of Regulatory Law and Policy at NYU School of Law. She is a Senior Fellow of the Administrative Conference of the United States, a member of its Roundtable on Artificial Intelligence in Federal Agencies, author of Algorithmic Tools in Retrospective Review (2023) and co-author of Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies (2020). She is an elected member of the American Law Institute and an Adviser to the Principles of the Law, Civil Liability for Artificial Intelligence. Professor Sharkey has participated in international workshops and conferences, including “Automated Administrative Decisions” in Rome, “Transatlantic AI & Law Initiative Workshop” at Fordham Law School, “Mapping and Governing the Online World” in Ascona, Switzerland, “Shaping AI for Just Futures, International AI + Society Conference” at the University of Ottawa, and “The Democratic Regulation of AI” at the Yale Information Society Project/Wikimedia Initiative on Intermediaries and Information.
Selected Works
Products Liability for Artificial Intelligence
A Products Liability Framework for AI
Artificial Intelligence for Retrospective Regulatory Review
Artificial Intelligence in Rulemaking: From Retrospective Review to Prospective Rules (49 ABA REG. AND ADMIN. L. NEWS (Fall 2023) (with Mallett))
Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies (2020)
Katherine Strandburg
Katherine Strandburg concentrates her teaching and research in the areas of information privacy law, law and technology, patent law and innovation policy. Her research on AI focuses on issues raised by automated decision making, software-based forensic evidence, and the implications of trade secrecy. She is the Faculty Director of the interdisciplinary NYU Information Law Institute. She is currently co-leading (with Brett M. Frischmann, Michael J. Madison, and Madelyn Sanfilippo) the National Science Foundation-supported project RCN: The Governing Knowledge Commons Research Coordination Network and is co-editor of the Cambridge Studies on Governing Knowledge Commons book series. She is also co-PI (with Joshua Epstein, Erez Hatna, and Sebastian Benthall) on NSF grant DASS: Agent Based Modeling at the Boundary of Law and Software. Prior to her legal career, Professor Strandburg was a research physicist at Argonne National Laboratory, having received her PhD from Cornell University and conducted postdoctoral research at Carnegie Mellon. She was a visiting faculty member of the physics department at Northwestern University from 1990 to 1992.
Selected Works
Katherine J. Strandburg, Adjudicating with Inscrutable Decision Rules, in MACHINES WE TRUST: PERSPECTIVES ON DEPENDABLE AI (Teresa Scantamburlo and Marcello Pelillo, eds., MIT Press 2021)
John Nay and Katherine J. Strandburg, Generalizability: Machine Learning and Humans-in-the-Loop, RESEARCH HANDBOOK ON BIG DATA LAW (R. Vogl, ed., Edward Elgar 2021)
Ignacio Cofone and Katherine J. Strandburg, Strategic Games and Algorithmic Secrecy, 64 MCGILL L. J. 623 (2019) (reprinted in c102 Sup. Ct. L. Rev. 39 (2021).
Katherine J. Strandburg, Rulemaking and Inscrutable Automated Decision Tools, 119 COLUMBIA L. REV. 1851 (2019).
Kevin Werbach
Kevin Werbach is the Liem Sioe Liong / First Pacific Company Professor and Chair of the Department of Legal Studies and Business Ethics at the Wharton School, University of Pennsylvania. A world-renowned expert on emerging technologies, he examines business and policy implications of developments such as AI and blockchain. He is the director of the Wharton Accountable AI Lab, host of The Road to Accountable AI podcast, and Academic Director of Wharton’s Strategies for Accountable AI executive education program. His books, which have been translated into six languages, include The Blockchain and the New Architecture of Trust (2018; paperback 2023), For the Win (2012; updated 2020), and After the Digital Tornado (2020; paperback 2022).
Selected Works
Orwell That Ends Well: Social Credit as Regulation for the Algorithmic Age, 2022 U. Ill. L Rev. 1417.
Angela Zhang
Angela Huyue Zhang is a Professor of Law at the USC Gould School of Law. Zhang has broad research interests in the areas of law and economics, particularly in transnational legal issues bearing on businesses. Widely recognized as a leading authority on Chinese tech regulation, she has written extensively on this topic. Her first book, Chinese Antitrust Exceptionalism: How the Rise of China Challenges Global Regulation, was named one of the Best Political Economy Books of the Year by ProMarket in 2021. Her second book, High Wire: How China Regulates Big Tech and Governs Its Economy, released in March 2024, has been covered in The New York Times, Bloomberg, Wire China, MIT Tech Review and many other international news outlets. Zhang is currently conducting research on the regulation of artificial intelligence, with plans to teach and write on this topic in the coming years. Before joining USC Gould in 2024, Zhang taught at the University of Hong Kong, New York University School of Law, and King’s College London.
Selected Works
The Promise and Perils of China’s Regulation of Artificial Intelligence, Columbia Journal of Transnational Law (forthcoming)