Ungoverned: AI, Accountability, and the Limits of Law — Columbia Undergraduate Law Review
Ungoverned: AI, Accountability, and the Limits of Law — Columbia Undergraduate Law Review
https://www.culawreview.org/roundtable-1/ungoverned-ai-accountability-and-the-limits-of-law
Publish Date: 2026-05-26 13:11:00
Source Domain: www.culawreview.org
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Federalism in AI Regulation: Comparative Analysis
The Biden and Trump administrations approach AI regulation differently rooted in federalism. Biden proposes non-binding frameworks for AI, while Trump uses executive orders to dismantle state regulation. Both approaches highlight the limitation of executive power without congressional legislation in creating enforceable AI policies. -
Deregulation and Healthcare AI Transparency
The Trump administration’s push for deregulation threatens model cards, which document AI’s design, risks, and limitations crucial for transparency and patient safety in healthcare AI. The removal of model card requirements could weaken the ability to hold institutions accountable for AI-related medical malpractice and hinder informed consent. -
Indigenous Water Rights and AI Data Centers
Executive Order 14318 supports rapid deployment of AI data centers on federally owned land impacting Indigenous water rights on Public Domain Allotments. Current legal frameworks fail to protect these non-reservation Indigenous lands, raising concerns for water quality and the Winters v. United States reserved water rights doctrine which may not apply to these allotments. -
Autonomous Weapons and International Humanitarian Law
The development of fully autonomous weapons, devoid of human control at the moment of execution, violates key principles of International Humanitarian Law: distinction, proportionality, and precaution. Autonomous weapons are unable to adapt to real-time circumstances and fail to provide the necessary human moral judgment and accountability required under international criminal law.
