Ard et al. on Technology Law Chapter 6: Upset Equilibria

Bj Ard (U Wisconsin Law) and Rebecca Crootof (U Richmond Law) have posted “Technology Law Chapter 6: Upset Equilibria” on SSRN. Here is the abstract:

Based on years of experience teaching the subject, we have produced a first draft of a “Technology Law” coursebook. It teases out fundamental concepts, introduces our methodology for resolving tech-fostered legal uncertainties, and identifies the strengths and weaknesses of different regulatory choices. Through a mixture of readings, exercises, and discussion questions, it helps readers develop facility in:

– Recognizing the recurring techlaw and policy questions and discerning the application, normative, and institutional uncertainties associated with a particular technology;

– Working through the process of resolving legal uncertainties, which includes consciously selecting a regulatory approach, identifying legally salient characteristics and relevant analogies, and weighing the benefits and drawbacks of various regulatory choices (law-by-analogy, creating new law, or reconfiguring legal institutions); and

– Developing familiarity with employing and countering common rhetorical strategies for advancing, opposing, or shaping regulation.

This course is designed to be accessible and useful to all students, regardless of career interests or prior experience with technology. New technologies challenge every area of the law, and the regulatory and rhetorical strategies we’ll explore are transferable across subjects.

This posting includes Chapter Six: Upset Equilibria. Future chapters will be posted bi-monthly.

We welcome feedback at the link included in the document; additional chapters will be updated regularly. If you are interested in teaching from this text, in whole or in part, please let us know, as we would be happy to share our class notes and slides.

Yu on Toward a New Research Agenda for Artificial Intelligence and International Law

Peter K. Yu (Texas A&M U Law) has posted “Toward a New Research Agenda for Artificial Intelligence and International Law” (UCLA Journal of International Law & Foreign Affairs, Vol. 30, 2026, Forthcoming) on SSRN. Here is the abstract:

Over the past few years, artificial intelligence—in particular, generative AI—and the changes brought about by this new technology have garnered priority attention from policymakers, commentators, and the mass media. Issues such as job displacement, the unauthorized use of personal information and likeness, the protection of intellectual property rights, and environmental sustainability have attracted analyses through an AI lens. What is less explored, however, is how AI will change the future development of international law. 

To provide an overview of the issues that have received attention thus far and that will continue to emerge at the intersection of AI and international law, this short essay, which was expanded from the opening remarks on the “Artificial Intelligence and the Boundaries of International Law” panel at International Law Weekend—West 2026, identifies eight issues that deserve greater policy and scholarly engagement. Together, these issues help demonstrate the need for a new research agenda for AI and international law and provide content to fill this agenda.

Solow-Niederman on Clickwrap Accountability

Alicia Solow-Niederman (George Washington U Law) has posted “Clickwrap Accountability” (95 Fordham L. Rev. (forthcoming 2026)) on SSRN. Here is the abstract:

Picture a public-facing generative AI chatbot on a government website that can answer questions about benefits eligibility.  Systems like these expose a sociotechnical-legal divide: they route around the standard due process framework, because there has been no formal government determination, yet they induce reliance from users, above and beyond past rounds of automated legal guidance.  Moreover, if there is an error, current doctrine on government errors and equitable estoppel makes relief unlikely.

Smith on Persons Real and Feigned A Metaphysics of the Legal Person

Thomas A. Smith (U San Diego Law) has posted “Persons Real and Feigned A Metaphysics of the Legal Person” on SSRN. Here is the abstract:

This essay asks what a legal person is, and argues that the law’s many nonhuman persons answer to a single account with three terms and no fourth. A legal person is either a rational substance, an individual being whose own nature is rational, which is what a human being is and the person in the fullest sense; or a unity of order, a body of rational persons held together by an order directed to a common good, which is what a corporation is, and a state, a person not in the full sense but by a true analogy, real and an agent yet possessed of no rational soul of its own; or a pure fiction, a name in the law behind which there stands no person at all, which is what an artificial agent is when the law makes a person of it.

The middle term is the essay’s contribution. Drawn from the metaphysics of Aristotle and Aquinas rather than from the natural law theory of recent decades, the unity of order supplies the category that the fiction, aggregate, and organic theories have each lacked, and it explains how a corporation can truly act, and persist beyond the members who compose it, while having no inner life or conscience of its own. The account refuses to remain idle: it is tested by prediction against the constitutional protections a corporation may and may not claim, across self-incrimination, speech, religious exercise, and the piercing of the corporate veil, and is then carried beyond the business corporation to the state, which is neither a mere aggregate nor a deified substance, and to the artificial agent, which proves to be the first legal person the medieval term persona ficta describes without remaind.

Rousseau et al. on Artificial Intelligence and the Board of Directors: AI Governance Frameworks and Disclosure Practices of Canadian-Listed Corporations

Stephane Rousseau (U Montréal Law) and Catherine Régis (U Montreal Law) have posted “Artificial Intelligence and the Board of Directors: AI Governance Frameworks and Disclosure Practices of Canadian-Listed Corporations” on SSRN. Here is the abstract:

This article examines the state of artificial intelligence (AI) governance among Canadian publicly listed companies, with a focus on the role of boards of directors in overseeing AIrelated risks and opportunities. Drawing on the Canadian corporate governance framework-including directors’ fiduciary duties and duty of care under corporate law, and the comply-or-explain approach adopted by the Canadian Securities Administrators (CSA)-the article situates board oversight of AI within both shareholder primacy and stakeholder theory perspectives. An empirical study of TSX-60 listed companies, based on regulatory filings and structured content analysis, reveals a significant gap between the widespread recognition of AI as a material risk factor and the formal integration of AI governance into corporate architecture. Building on this empirical foundation, the article surveys emerging best practices from academic literature, proxy advisory guidelines, shareholder proposals, and international governance codes. It concludes that existing Canadian governance standards, though partially responsive, remain insufficient to address the complexity and urgency of AI-related challenges. The article recommends that the CSA revise its corporate governance guidelines using the comply-or-explain approach to promote standardized disclosure, reduce fragmentation, and strengthen board accountability in an era of accelerating AI adoption.

Pandey on The Agentic AI Governance Framework: A Universal Model for Risk, Accountability, and Compliance in Autonomous Systems

Rajat Pandey (MindscopeAi LLP) has posted “The Agentic AI Governance Framework: A Universal Model for Risk, Accountability, and Compliance in Autonomous Systems” (https://orcid.org/0009-0001-8440-2191) on SSRN. Here is the abstract:

The rapid and enthusiastic interest in development and deployment of Agentic AI and especially autonomous agents which are capable of independent reasoning, leveraging and  executing tools, has outpaced the definition of governance mechanism that is required to manage their operational, ethical and regulatory risks.There are existing AI governance models like NIST AI RMF, ISO/IEC 42001, do provide foundational controls however, they are very generic and lack the implementation depth for these conitnuously acting, multi-agent systems.

This paper introduces The Agentic AI Governance Framework, which is a six principled lifecycle model designed to ensure traceability, accountability, and regulatory alignment across agentic deployments. The framework formalizes quantifiable controls through two applied mechanisms: the Agentic Log Retention Index (ALRI), which defines evidenceretention periods based on agent risk and jurisdiction, and a Runtime Governance Architecture integrating human-in-loop escalation, tool-access allow-lists, and modelprovenance capture. Implementation mappings are provided for major orchestration environments including LangChain, Power Platform, and UiPath. 

Adoption of the framework enables organizations to reconstruct agentic decisions within 24 hours, achieve ≥ 95 % provenance coverage, and detect behavioral drift within 10 % variance. The proposed model bridges the current gap between compliance principles and deployable governance practice, establishing a reusable baseline for safe and auditable Agentic AI operations.

Olson on Beyond Conception: AI, the America Invents Act, and the Temporal Anchor of Invention

David S. Olson (Boston College Law) has posted “Beyond Conception: AI, the America Invents Act, and the Temporal Anchor of Invention” (Brooklyn Law Review, Vol. 92 (Forthcoming)) on SSRN. Here is the abstract:

Artificial intelligence systems increasingly generate technical solutions before any human has anticipated, formulated, or understood them. Under current patent doctrine, these inventions may be unpatentable—not because they fail requirements of novelty, utility, or disclosure, but because they lack a psychologically framed moment of human conception. This Article argues that the continued centrality of conception is both historically contingent and doctrinally unnecessary. Conception arose as a priority-allocating device under the first-to-invent regime. The America Invents Act (AIA) eliminated that regime, replacing it with a first-inventor-to-file system in which priority turns on filing date. Yet conception persists as the definitional anchor of invention, retained by doctrinal inertia rather than functional necessity. Every substantive concern that conception might plausibly serve (screening for operability, ensuring disclosure, preventing trivial patenting) is already performed more directly by existing requirements of utility, enablement, written description, novelty, and obviousness. This Article proposes relocating the temporal anchor of invention from mental formulation to demonstrable technological achievement through actual or constructive reduction to practice. This realignment harmonizes patent doctrine with the AIA’s statutory structure, accommodates computational modes of innovation without inventorship metaphysics, and preserves every existing safeguard against speculative or overbroad patenting.

Hartzog et al. on On the Right to Obscurity

Woodrow Hartzog (Boston U Law) and Evan Selinger (Rochester Institute Technology Philosophy) have posted “On the Right to Obscurity” (17 California Law Review Online 23 (2026)) on SSRN. Here is the abstract:

U.S. privacy law has largely failed to protect our most common yet also our most underappreciated form of privacy: the practical obscurity that allows us to live freely and with dignity. Obscurity, which is the state of protection that arises when personal information is difficult for some people to obtain or correctly interpret, provides the breathing room we need pursue self-development or establish healthy boundaries with others.

Around the world, there is tremendous anxiety about surveillance because new digital technologies and systems have drastically reduced obscurity. In this Essay, which reflects on Chinmayi Sharma, Thomas E. Kadri, and Sam Adler’s thoughtful and urgent articleBrokering Safety, we argue in favor of a legally protected right to obscurity that is tied to human dignity and capabilities.

Appealing to this organizing principle can help lawmakers better mitigate the ongoing obscurity harms that people suffer every day. Indeed, a right to obscurity grounded in human dignity and capabilities can anchor a robust approach to surveillance reform that includes interventions, ranging from procedural rules to outright bans. Crucially, it can offer robust justification for bespoke interventions, such as one proposed inBrokering Safety, that protects our most ordinary and undervalued form of privacy.

Colangelo et al. on AI Ecosystems, Power Shifts, and EU Competition Law Enforcement

Giuseppe Colangelo (Università degli Studi della Basilicata) and Ariel Ezrachi (U Oxford Law) have posted “AI Ecosystems, Power Shifts, and EU Competition Law Enforcement” on SSRN. Here is the abstract:

The emergence of AI assistants and agents is transforming market dynamics, favouring a shift in competition away from individual products and towards integrated services, and from competition between firms to competition between ecosystems. This transition is reshaping power relations along the vertical chain; On the one hand, vertically integrated providers may deploy leveraging strategies to favour their own AI tools, and may further use these tools to extract rents from downstream intermediaries. On the other hand, the success of agentic AI and the proliferation of strategic collaborations may facilitate entry, offer new paths to market, and possibly challenge the hegemony of the established ecosystem. This paper explores these developments and the relationship between intra-ecosystem competition and inter-AI (ecosystem) competition. In doing so, it reflects on the emergence of frenemy relationship between market players, and the adequacy of current competition law analysis in evaluating complex inter-and intra AI competition.

Coglianese et al. on Fighting Risk with Risk

Cary Coglianese (U Pennsylvania Carey Law) and Oren Perez (Bar-Ilan U Law) have posted “Fighting Risk with Risk” (University of Illinois Law Review, forthcoming) on SSRN. Here is the abstract:

A growing scholarly and policy debate pits advocates of the precautionary principle, who prioritize risk minimization, against proponents of an innovation principle, who argue that regulation suppresses technological progress. Despite their differences, both camps share the assumption that contemporary regulatory law is shaped by a risk-averse orientation that is fundamentally at odds with the risk-seeking ethos of technological entrepreneurship in fields such as artificial intelligence. What this debate overlooks is an alternative approach altogether—one that deliberately embraces risk as a vehicle for risk reduction. Instead of fighting risk by restricting, delaying, or controlling risky activity, the government sometimes justifiably fights risk by embracing risk under legally structured conditions. 

In this article, we introduce and offer a theory of this overlooked strategy. Drawing on examples as varied as so-called ethical hacking used to expose cybersecurity vulnerabilities, prescribed forest burning to prevent catastrophic wildfires, and geoengineering to combat climate change, we explain how fighting risk with risk differs from—as well as shares affinities with some elements of—the two sides of the dichotomous precautionary and innovation-oriented paradigms that make up contemporary debate over risk governance.

We offer a framework for deciding when government is justified to fight risk with risk, and when it should revise or discontinue such efforts. This inquiry implicates first-order questions—namely, the welfare implications of risk–risk tradeoffs and the distributive consequences of shifting exposures to risks—and second-order questions concerning the epistemic challenges in authorizing or deploying risk as a strategy for risk governance. These challenges involve making decisions under uncertainty across the policy life cycle, mitigating institutional and behavioral biases, structuring liability and compensation regimes for the risks that law deliberately embraces, and building reflexivity in an often-fragmented institutional environment.

To address these challenges, we advance a meta-regulatory architecture rooted in reflexivity—the capacity of legal institutions to adapt and update policies as evidence, risks, and priorities evolve. This architecture rests on four interlocking elements, each of which corresponds with the main challenges we identify: dynamic updating; structures to counteract cognitive biases; targeted liability and compensation; and collaborative mechanisms that enable coordinated revision. Without such governance mechanisms, regulatory authorities that embrace risk may inadvertently entrench policies whose harms outweigh their benefits and whose inequitable effects deepen existing vulnerabilities in society.

By highlighting how government can affirmatively embrace risk as a risk governance strategy, we seek to bring a fresh perspective to the precaution-versus-innovation debate and point to other ways that law can confront the harms facing society today. The debate between precaution and innovation is incomplete, if not also overly simplistic. Regulating in a highly dynamic world necessitates an equally dynamic posture toward risk. In a fast-paced era defined by climate change and new technologies, society surely requires some precautionary forms of risk governance that minimize risk, as well as some government policies that promote innovation. But it will also at times require strategies that deliberately deploy risk to avert greater harm. The meta-regulatory framework we propose offers a blueprint for embracing risk by integrating economic efficiency with a commitment to distributive fairness. That framework also points to how regulators should act more generally in the face of the risks of new technologies and a changing world.