How AI Will Change the Law Symposium, Cohosted by the Coase-Sandor Institute, the University of Chicago Law Review Online and Oxford Business Law Blog
Room V
1111 East 60th Street, Chicago, Illinois 60637
This symposium is organized by the University of Chicago Law School and the University of Oxford Law Faculty.
The faculty organizers are Omri Ben-Shahar, Leo and Eileen Herzel Distinguished Service Professor of Law, Kearney Director of the Coase-Sandor Institute for Law and Economics, Anthony J. Casey, Donald M. Ephraim Professor of Law and Economics, Faculty Director, The Center on Law and Finance, and Horst Eidenmüller, Statutory Professor for Commercial Law at the University of Oxford.
We are all aware that AI tools have passed the inflection point of their exponential growth, and that the law is scrambling to deal with their impact. Much of current scholarship and policy-making focuses on the regulation of AI. This symposium reverses the inquiry. Rather than ask how the law should govern and safeguard society’s AI transformation, the conference asks how data and AI will sharpen and change the substance of legal rules. How will doctrines of private and public law, rules of procedure and evidence, or the practice and interpretation of law evolve when big data and AI infiltrate their domain? If data replace evidence and algorithms augment and replace human discretion, how will the content of the law change?
We invite presenters to imagine the future of their field of law. Are there longstanding rules or principles that will decline? New that will rise? How will the administration of the law in—lawmaking, judging, and legal practice—adapt? Are these changes desirable? What will be its consequences for the legal system?
The essays from the symposium will be published in the University of Chicago Law Review Online, and in abridged form in the Oxford Business Law Blog.
Presenters:
Ian Ayres, Yale University
Omri Ben-Shahar, University of Chicago
Anthony Casey, University of Chicago
Horst Eidenmüller, University of Oxford
Geneviève Helleringer, University of Oxford & ESSEC Business School
Edward Iacobucci, University of Toronto
Katja Langenbucher, Goethe-Universität Frankfurt
Sarah Lawsky, Northwestern University
Anat Lior, Drexel University
Orly Lobel, University of San Diego
Gabriel Rauterberg, University of Michigan
Felix Steffek, University of Cambridge
Gerhard Wagner, Humboldt-Universität zu Berlin
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Friday, April 12
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PANEL I - The Law of AI
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Orly Lobel, University of San Diego School of Law, “Automation Rights: How to Rationally Design Humans-out-of-the-Loop Law.”
Ian Ayres, Yale Law School, “The Law of AI is the Law of Risky Agents without Intention.” (with Jack Balkin).
Anat Lior, Drexel University Thomas R. Kline School of Law, “Holding AI Accountable: Addressing AI-Related Harms Through Existing Tort Doctrines.
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PANEL II - Tort Law
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Gerhard Wagner, Humboldt-Universität zu Berlin, Faculty of Law, “AI and Tort Law: From Correlation to Causation.”
Omri Ben-Shahar, University of Chicago Law School, “Safety Score Liability.”
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PANEL III - Competition and Negotiation
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Edward Iacobucci, University of Toronto, Faculty of Law, “Algorithmic Pricing, Anticompetitive Counterfactuals, and Antitrust Law.”
Horst Eidenmüller, University of Oxford, Faculty of Law, “Should we be Afraid of Digital Negotiators?”
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PANEL IV - Flexible Doctrinal Boundaries
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Sarah Lawsky, Northwestern Pritzker School of Law, “Flexible Formalizations.”
Gabriel Rauterberg, University of Michigan Law School, “How Artificial Intelligence Will Shape Securities Law: The Challenge of Content Moderation and Trading.”
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PANEL I - The Law of AI
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Saturday, April 13
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PANEL V - Corporate Judgment Rules
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Geneviève Helleringer, University of Oxford / ESSEC Business School, “How AI Will Change the Business Judgment Rule.” (with Florian Möslein).
Katja Langenbucher, Goethe-Universität Frankfurt, House of Finance, “AI Judgment Rule(s).”
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PANEL VI - Corporate Insolvency Law
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Felix Steffek, University of Cambridge, Faculty of Law, “A Story of Two Holy Grails: How Artificial Intelligence Will Change the Design and Use of Corporate Insolvency.”
Anthony Casey, University of Chicago Law School, “Case Prediction, Data Limitations, and the Promise of Artificial Intelligence in Corporate Insolvency.”
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PANEL V - Corporate Judgment Rules