# kaal:claim:5541658-017

**Claim.** Predictive and generative AI systems threaten fairness by reducing complex judicial processes to statistical correlations, which neglects the emotive and cognitive dimensions of justice and the contextual nuances human judges consider.

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

**Holds when.**

- AI used for judicial decision-making rather than administrative tasks

**Source quote.**

> Predictive and generative AI systems often reduce complex judicial processes to statistical correlations, neglecting the emotive-cognitive dimensions of justice.

**From.** Wulf A. Kaal, Morgan A. Gray, *The Evolving Role of Artificial Intelligence in Law* (2025), Fairness and the Human Element in Judging, page 22

**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.** statistical reductionism in adjudication  (family: human-judgment-displacement)

**Topics.** empirical-evidence

**Keywords.** fairness, statistical-reductionism, judicial-discretion, empathy

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