Registro de citas para el Incidente 849

Description: AI writing detection tools have reportedly continued to falsely flag genuine student work as AI-generated, disproportionately impacting ESL and neurodivergent students. Specific cases include Moira Olmsted, Ken Sahib, and Marley Stevens, who were penalized despite writing their work independently. Such tools reportedly exhibit biases, leading to academic penalties, probation, and strained teacher-student relationships.

Editor Notes: Reconstructing the timeline of events: (1) Sometime in 2023: Central Methodist University is reported to have used Turnitin to analyze assignments for AI usage. Moira Olmsted’s writing is flagged as AI-generated, leading to her receiving a zero and a warning. (2) Sometime in 2023: Ken Sahib, an ESL student at Berkeley College, is reported to have been penalized after AI detection tools flagged his assignment as AI-generated. (3) Sometime in late 2023 or early 2024: Marley Stevens is reported to have been placed on academic probation after Turnitin falsely identifies her work as AI-generated, though she purports to have only used Grammarly for minor edits. (4) October 18, 2024: Bloomberg publishes findings that leading AI detectors falsely flag 1%-2% of essays as AI-generated, with higher error rates for ESL students. (This date is set as the incident date for convenience.)

Herramientas

Nuevo Informe Nueva Respuesta DescubrirVer Historial

Entidades

Ver todas las entidades

Presunto: un sistema de IA desarrollado por Turnitin , GPTZero y Copyleaks e implementado por Central Methodist University , Berkeley College , Universities y Colleges, perjudicó a students , Neurodivergent students , ESL students , Moira Olmsted , Ken Sahib y Marley Stevens.

Estadísticas de incidentes

849

Cantidad de informes

Fecha del Incidente

2024-10-18

Editores

Daniel Atherton

Informes del Incidente

Cronología de Informes

Detectores de IA acusan falsamente a estudiantes de hacer trampa, con graves consecuencias

bloomberg.com

bloomberg.com · 2024

Traducido por IA

Después de tomarse un tiempo libre de la universidad a principios de la pandemia para formar una familia, Moira Olmsted estaba ansiosa por volver a la escuela. Durante meses, hizo malabarismos con un trabajo de tiempo completo y un niño peq…

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.