Registro de citas para el Incidente 704

Description: Stanford University’s Human-Centered AI Institute (HAI) conducted a study in which they designed a "pre-registered dataset of over 200 open-ended legal queries" to test AI products by LexisNexis (creator of Lexis+ AI) and Thomson Reuters (creator of Westlaw AI-Assisted Research and Ask Practical Law AI). The researchers found that these legal models hallucinate in 1 out of 6 (or more) benchmarking queries.

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Estadísticas de incidentes

ID
704
Cantidad de informes
2
Fecha del Incidente
2024-05-23
Editores
Daniel Atherton
Applied Taxonomies
translated-es-AI on Trial: Legal Models Hallucinate in 1 out of 6 (or More) Benchmarking Queries
hai.stanford.edu · 2024

translated-es-Artificial intelligence (AI) tools are rapidly transforming the practice of law. Nearly three quarters of lawyers plan on using generative AI for their work, from sifting through mountains of case law to drafting contracts to …

translated-es-We asked ChatGPT for legal advice—here are five reasons why you shouldn't
theconversation.com · 2024

translated-es-At some point in your life, you are likely to need legal advice. A survey carried out in 2023 by the Law Society, the Legal Services Board and YouGov found that two-thirds of respondents had experienced a legal issue in the pa…

Variantes

Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.