AI Regulation

AI Regulation: A Guardrail for Human Control

AI systems can influence consequential decisions without people knowing how they are used. Meaningful regulation should preserve human control through transparency, review, and accountability.
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Chief Justice Steven Jensen

South Dakota Chief Justice Steven Jensen on Courts, AI, and Public Trust

Chief Justice Steven R. Jensen discusses judicial recruitment, access to justice, artificial intelligence, public trust, treatment courts, and emerging-adult justice initiatives in South Dakota.
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Connecticut Chief Justice Raheem L. Mullins

Connecticut Chief Justice Raheem L. Mullins on Court Leadership

Chief Justice Raheem L. Mullins discusses mental health courts, artificial intelligence, court modernization, judicial security, public trust, and Connecticut’s judicial selection process.
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Nebraska Chief Justice Jeffrey J. Funke

Nebraska Chief Justice Jeffrey J. Funke on the Future of Justice

Chief Justice Jeffrey J. Funke discusses judicial leadership, treatment courts, artificial intelligence, public trust, rural access to justice, and the future of Nebraska’s courts.
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AI evidence due process

AI Evidence and Due Process: The Real Black Box Problem

Artificial intelligence is increasingly used across criminal proceedings, yet many systems operate as opaque “black boxes.” This article argues that the real concern is not technical opacity but procedural justice. When defendants cannot challenge algorithmic evidence through meaningful disclosure, the adversarial process fails and due process is compromised.
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AI evidence admissibility

When AI Becomes Evidence: Frye, Daubert, and Algorithmic Proof

Artificial intelligence increasingly produces outputs used as evidence in court. From facial recognition to risk assessment algorithms, these systems raise new reliability questions. This article explains how existing evidentiary standards—Frye, Daubert, and Federal Rule of Evidence 702—already govern algorithmic proof and why rigorous judicial scrutiny is essential.
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