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Abstract

The rapid adoption of artificial intelligence (AI) and machine learning (ML)

technologies by federal agencies presents novel constitutional questions that

existing legal doctrine has not yet adequately addressed. This paper

examines the emerging constitutional dimensions of the 2026 conflict

between Anthropic and the Department of Defense (DOD), in which the

Pentagon demanded unrestricted use of Anthropic's AI model Claude for

domestic mass surveillance and autonomous weapons systems, ultimately

designating Anthropic a supply chain risk when the company refused.

Drawing on three salient constitutional frameworks, specifically the Fourth

Amendment doctrine established in Kyllo v. United States (2001) and

Carpenter v. United States (2018), the executive power limits articulated in

Youngstown Sheet and Tube Co. v. Sawyer (1952), and constitutional

scholar John Hart Ely's process-based theory of judicial review as

developed in Democracy and Distrust (1980), this paper further maps the

constitutional terrain of government AI adoption. Rather than prescribing

specific outcomes, this analysis identifies structural constitutional tensions

that AI-powered surveillance creates and argues that existing doctrinal

frameworks, while instructive, are severely insufficient to address the scale

and opacity of AI-enabled government power.

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