Incidente 773: translated-es-Chatbot in Workplace Training at Bunbury Prison Reveals Real Names in Sexual Harassment Case
Descripción: translated-es-During workplace training at Bunbury Prison in Western Australia, a trainer used Microsoft's Copilot AI chatbot to generate case study scenarios. The chatbot produced a scenario that included the real name of a former employee involved in a sexual harassment case, revealing sensitive information.
Entidades
Ver todas las entidadesAlleged: Microsoft developed an AI system deployed by Charlotte Ingham y Western Australia Department of Justice, which harmed Western Australia Department of Justice , Bronwyn Hendry y Western Australia Department of Justice senior staff members.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Privacy & Security
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Informes del Incidente
Cronología de Informes
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translated-es-The psychosocial safety training company that used the full name of an alleged sexual harassment victim in a course at her former workplace says artificial intelligence (AI) is to blame.
Psychosocial Leadership trainer Charlot…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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