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AI and the nature of disagreement.
Niblett, Anthony; Yoon, Albert.
Afiliación
  • Niblett A; University of Toronto, Faculty of Law, 78 Queens Park Crescent, West Toronto, Ontario, Canada M5S 2C5.
  • Yoon A; University of Toronto, Faculty of Law, 78 Queens Park Crescent, West Toronto, Ontario, Canada M5S 2C5.
Philos Trans A Math Phys Eng Sci ; 382(2270): 20230162, 2024 Apr 15.
Article en En | MEDLINE | ID: mdl-38403050
ABSTRACT
Litigation is a creature of disagreement. Our essay explores the potential of artificial intelligence (AI) to help reduce legal disagreements. In any litigation, parties disagree over the facts, the law, or how the law applies to the facts. The source of the parties' disagreements matters. It may determine the extent to which AI can help resolve their disputes. AI is helpful in clarifying the parties' misunderstanding over how well-defined questions of law apply to their facts. But AI may be less helpful when parties disagree on questions of fact where the prevailing facts dictate the legal outcome. The private nature of information underlying these factual disagreements typically fall outside the strengths of AI's computational leverage over publicly available data. A further complication parties may disagree about which rule should govern the dispute, which can arise irrespective of whether they agree or disagree over questions of facts. Accordingly, while AI can provide clarity over legal precedent, it often may be insufficient to provide clarity over legal disputes. This article is part of the theme issue 'A complexity science approach to law and governance'.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Inteligencia Artificial / Disentimientos y Disputas Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Inteligencia Artificial / Disentimientos y Disputas Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2024 Tipo del documento: Article