Incident 301: Un adolescent du Broward College accusé à tort de tricherie via une surveillance à distance
Description: L’utilisation par le Broward College d’un système de surveillance à distance et le recours à son algorithme de signalement auraient conduit à une accusation injustifiée de malhonnêteté académique lors d’un examen de biologie d’un adolescent de Floride.
Entités
Voir toutes les entitésAlleged: Honorlock developed an AI system deployed by Broward College, which harmed unnamed Florida teenager.
Statistiques d'incidents
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.1. Unfair discrimination and misrepresentation
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
Rapports d'incidents
Chronologie du rapport
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