Policy & Governance Resources
A curated library of frameworks, regulatory documents, case studies, and academic work the author endorses as worthwhile reading for readers of the paper.
Who's Responsible for Agentic AI?
Clifford Chance’s survey of who bears responsibility when autonomous AI agents cause harm — the global consensus is to keep humans in charge and accountable rather than grant AI legal personhood.
Topic · Legal & Liability
The Ethics and Challenges of Legal Personhood for AI
A Yale Law Journal Forum essay on the ethics and challenges of granting AI legal personhood — scholarly grounding for treating AI as a tool whose accountability stays with humans, not a separate legal entity.
Topic · Legal & Liability
The Duty of Supervision in the Age of Generative AI
The ABA’s account of the board/executive/legal duty of supervision over generative AI — an organization and its leaders remain accountable for AI use, the accountability principle in a professional-conduct frame.
Topic · Legal & Liability
Redefining the Standard of Human Oversight for AI Negligence (Harvard JOLT)
Argues that “human in the loop” mandates fail on automation bias and vigilance decrement, and names the “liability sponge” — a person absorbing responsibility for a system they lack the capacity to supervise. The legal case for why an operator cannot personally stand in for a harness the work required.
Topic · Legal & Liability
No Legal Personhood for AI
A peer-reviewed argument that AI lacks the agency and accountability that legal personhood would require — scholarly grounding for the chapter’s rejection of AI as a separate, liable entity.
Topic · Legal & Liability
Generative AI Tools: ABA Formal Opinion 512
An analysis of ABA Formal Opinion 512 by an ABA ethics-committee member: lawyers must understand AI’s limits and independently verify its output, retaining full professional accountability — the principle applied to a regulated profession.
Topic · Legal & Liability
Institutional Intelligence Brief
Receive updates on new chapters, critical policy shifts, and emerging AI governance frameworks directly in your inbox.
A double opt-in confirmation keeps the list clean; unsubscribe anytime.