Incidente 773: Un chatbot en una capacitación laboral en la prisión de Bunbury revela nombres reales en un caso de acoso sexual.
Descripción: Durante una capacitación laboral en la prisión de Bunbury, en Australia Occidental, un instructor utilizó el chatbot Copilot AI de Microsoft para generar casos prácticos. El chatbot generó un escenario que incluía el nombre real de un exempleado involucrado en un caso de acoso sexual, revelando información confidencial.
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
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 Charlotte Ingham said…
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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