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AI Summary of Peer-Reviewed Research

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AI predictive models do not make law deterministic

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A man in a dark business suit sits at a wooden desk in a courtroom, holding a microphone with a tablet computer visible, while another person is blurred in the background at what appears to be a judge's bench.
Research area:LawArtificial Intelligence in LawLaw in Society and Culture

What the study found

The study argues that artificial intelligence (AI) predictive systems do not turn law into a fully deterministic system. Instead, they produce probabilistic expectations based on past decisions and are shaped by temporal, institutional, and social dynamics.

Why the authors say this matters

The authors suggest that these findings matter because they challenge the idea that predictive AI can overcome uncertainty in law. They conclude that AI may improve consistency in judicial decision-making, but it does not remove indeterminacy.

What the researchers tested

The researchers used a conceptual and comparative analysis grounded in legal theory, philosophy of science, and socio-legal research. They examined predictive models of judicial decision-making through the lenses of Dworkin’s Judge Hercules, a model of an ideal judge, and Laplace’s Demon, a hypothetical being that could predict everything if the world were fully deterministic.

What worked and what didn't

The article finds that predictive accuracy can surpass human expertise in specific tasks. However, the abstract says this does not transform law into a deterministic system, and predictive models remain limited by cognitive, epistemological, and systemic factors.

What to keep in mind

The summary provided describes a theoretical and comparative article, not an empirical test of courtroom outcomes. The abstract does not give specific case data, measures, or detailed limitations beyond noting the structural uncertainty of law.

Key points

  • The article argues that AI predictive systems do not make legal decision-making deterministic.
  • It says predictive models generate probabilistic expectations from past decisions.
  • The authors conclude that AI may improve consistency while leaving legal indeterminacy intact.
  • The analysis is conceptual and comparative, drawing on legal theory, philosophy of science, and socio-legal research.
  • The abstract says predictive accuracy can exceed human expertise in some tasks, but this does not remove uncertainty.

Disclosure

Research title:
AI predictive models do not make law deterministic
Authors:
Undergraduate Law Program at Unilasalle, Diógenes Vicente Hassan Ribeiro, Pedro Ramos Lima
Publication date:
2026-02-24
DOI:
10.47191/ijsshr/v9-i2-48
OpenAlex record:
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AI provenance: This post was generated by gpt-5.4-mini (OpenAI). The original authors did not write or review this post.