Christopher David LaRoche

Christopher David LaRoche is an assistant professor of international relations at Central European University and a visiting professor in Bard College NYC's Master of Arts in Global Affairs program. He studies safety-critical systems and the governance of nuclear weapons and artificial intelligence, and writes for Foreign Policy and War on the Rocks. He was a Stanton Foundation nuclear security fellow at the Carnegie Endowment for International Peace in 2025-2026. He holds a doctorate in political science from the University of Toronto and was a postdoctoral fellow at the University of Alberta's China Institute in 2018.

What DI has documented

DI has documented statements by Christopher David LaRoche on Artificial Intelligence and U.S. Politics. Read the quotations, original sources and related cases below.

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Statements by Christopher David LaRoche

Christopher David LaRoche

Role at the time: Assistant professor of international relations at Central European University and Carnegie Endowment Stanton nuclear security fellow, writing a signed analysis piece for Lawfare

Condemned

Statement summary

In a September 16 Lawfare essay, Christopher David LaRoche argued that the current generation of AI safety laws, California's SB 53, New York's Responsible AI Safety and Education Act and Illinois's SB 315, is an advance but stops at incident reporting. He wrote that none of the three requires a developer to investigate its own incident or assigns investigatory powers to any other actor, leaving developers in control of the evidence and regulators without the means to reconstruct what happened. He identified three obstacles specific to AI: model opacity, evidence that is distributed and mutable, and firms' epistemic advantage over outside investigators. He proposed two statutory requirements that he said need not wait for a formal investigatory regime: a proactive data-retention duty covering model weights, inputs and outputs, logs and operational conditions, and dedicated in-firm units to preserve that evidence and help investigators interpret it. His comparisons with aviation accident investigation and his reading of interpretability limits are his own analysis.

“What happens after a report is made is less clear. New York and Illinois require their receiving bodies to review it, but none require the developer to investigate its own incident, nor assign investigatory powers to another actor. Developers therefore retain substantive control over what’s reported and what happens afterward, while state authorities have few tools to investigate. … The gap between a robust, aviation-style investigatory regime and current AI regulations is thus wide, whatever oversight architecture emerges. But these forensic preconditions for better regulation need not wait. Regulators can require that developers preserve what investigators need to reconstruct an accident: model weights, inputs and outputs, relevant logs, and operational conditions. … Regulators can also require large frontier developers to form dedicated units for managing this evidence and helping investigators access it.”
Open source (opens in a new tab)Lawfare: "The Forensic Gap in AI Safety Laws"Standfirst; "The Reporting Regime" (what the statutes require and what follows a report); "The Forensic Problem" (model opacity, evidence, the firm's epistemic advantage); "Building for Investigation" (the two proposed requirements and the closing paragraphs).
Why we used this label

LaRoche criticizes rules that leave companies controlling incident evidence and follow-up. He argues that independent investigators need powers and preserved evidence that current safeguards lack.

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