Fiduciary Duties and AI: Legal Frameworks, Technical Implementation, and Governance
June 4-5, 2026
Information Law Institute
New York University School of Law
The Information Law Institute at NYU School of Law invites proposals for a two-day workshop exploring the emerging intersection of fiduciary duties and artificial intelligence systems. As AI agents increasingly act on behalf of individuals and organizations in high stakes domains—managing health information, making financial decisions, curating educational content, and mediating consumer relationships—questions of loyalty, care, and accountability become paramount.
This conference aims to bootstrap an interdisciplinary community of practice that will shape the development, regulation, and standardization of fiduciary AI systems. We seek to bring together legal scholars, computer scientists, entrepreneurs, civil society organizations, and government representatives to examine how traditional fiduciary principles can be adapted, implemented, and enforced in the age of AI agents.
Questions of Interest
We welcome submissions addressing any aspect of fiduciary AI, especially if they offer an answer or method of answering the following questions:
- Are AI systems today currently capable of performing a fiduciary role? How will we know when they are ready?
- How can AI systems be designed and implemented to comply with the requirements of existing fiduciary duties in law, healthcare, finance, the guardianship of children, and other professions?
- How can fiduciary AI compliance be evaluated?
- What new fiduciary responsibilities should be applied to AI providers? What historical precedent is there for this?
- Which actors in complex AI supply chains bear fiduciary responsibilities?
- How will fiduciary duties for AI systems vary across jurisdictions?
- How do the fiduciary duties of corporations and trusts translate into AI systems and automation?
- What does law require of fiduciaries when delegating decision-making to AI systems? Must a human remain in the loop?
- Which institutions will enforce these duties, and how?
- What business models will result in a thriving ecosystem of fiduciary AI services?
- What problems in AI systems cannot be solved with fiduciary principles?
- What litigation to date has addressed fiduciaries and their use of AI systems?
- How can AI systems manage the trade-offs between competing priorities of fiduciaries, and how can these decisions be challenged through litigation?
We encourage submissions that bridge disciplines, challenge existing assumptions, and propose concrete pathways forward for well-implemented and well-regulated fiduciary AI agents.
We will meet using Chatham House rules to enable attendees to speak with more candor.
Submission Guidelines
We invite submissions from academics, practitioners, technologists, policymakers, and civil society representatives. We welcome work-in-progress, empirical studies, theoretical analyses, policy proposals, technical research, and product demonstrations.
Submission Requirements
Abstracts (required): 500-1000 words describing your proposed contribution, which can be:
- Original research: included methodology or approach, and key arguments, assertions, or findings
- Technical demonstrations of fiduciary AI implementations or evaluations
- Views on the state-of-the-art from practitioners, lawmakers, litigators, and technologists
In all cases, please emphasize the relevance to the guiding questions of the workshop.
As this is an interdisciplinary conference, we will prioritize accessible and pragmatic contributions over disciplinary depth.
Important Dates
- Submission Deadline: March 31, 2026
- Notification of Acceptance: April 15, 2026
- Conference Dates: June 4-5, 2026
How to Submit
Submit your abstract (and optional paper) via this form.
Please direct inquiries to: Dr. Sebastian Benthall, spb413@nyu.edu