Incidente 662: translated-es-Washington State's Lottery AI Site Reportedly Generates Inappropriate User Image
Descripción: translated-es-An AI-powered website by Washington State's Lottery is reported to have inadvertently produced a softcore pornographic image of a user, leading to the site’s immediate shutdown out of caution.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por , perjudicó a .
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.2. Exposure to toxic content
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.
- Discrimination and Toxicity
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
translated-es-A new Washington's Lottery AI mobile site turned a user's photo into softcore pornography, forcing them to take the website down "out of an abundance of caution."
When Megan, a 50-year-old mother based in Tumwater, visited the…
translated-es-A user of the Washington Lottery's "Test Drive a Win" website says it used AI to generate (the unredacted version of) this image with her face on a topless body.
The Washington State Lottery has taken down a promotional AI-pow…
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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