# kaal:claim:5541658-037

**Claim.** Generative AI in judicial settings is far from perfect: it can oversimplify complex judicial deliberations, reduce emotive and cognitive processes to statistical correlations, and introduce biases or interpretive errors.

**Type.** failure  **Support.** argued

**Holds when.**

- judges using tools such as GPT-4 to draft rulings or analyze arguments

**Source quote.**

> However, these applications are far from perfect, as generative AI can oversimplify complex judicial deliberations, reduce emotive-cognitive processes to statistical correlations, and introduce biases or interpretive errors.

**From.** Wulf A. Kaal, Morgan A. Gray, *The Evolving Role of Artificial Intelligence in Law* (2025), Judicial Decision-Making Tools, page 13

**Cite as.** Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658

**Verify.** sha256 of source PDF `e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20and%20Gray%20-%202025%20-%20The%20Evolving%20Role%20of%20Artificial%20Intelligence%20in%20Law.pdf

**Failure mode.** generative oversimplification of deliberation  (family: human-judgment-displacement)

**Topics.** ai-and-agents

**Keywords.** generative-ai, judicial-decision-making, interpretive-error, bias

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