インシデント 131: translated-ja-Proctoring Algorithm in Online California Bar Exam Flagged an Unusually High Number of Alleged Cheaters
概要: translated-ja-The proctoring algorithm used in a California bar exam cited a third of thousands of applicants as cheaters, resulting in allegations where exam takers were instructed to prove otherwise without seeing their incriminating video evidence.
Alleged: ExamSoft developed an AI system deployed by California Bar’s Committee of Bar Examiners, which harmed California bar exam takers と flagged California bar exam takers.
CSETv1 分類法のクラス
分類法の詳細Incident Number
The number of the incident in the AI Incident Database.
131
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