概要: Dartmouth's Geisel School of Medicine allegedly falsely accused students of cheating during remote exams using an internally built system which tracked student activity patterns without their knowledge on its learning management platform.
Alleged: Geisel School of Medicine's Technology staff と Canvas developed an AI system deployed by Geisel School of Medicine, which harmed Sirey Zhang , Geisel School of Medicine's students , Geisel School of Medicine's professors と Geisel School of Medicine's accused students.
インシデントのステータス
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
5.1. Overreliance and unsafe use
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.
- Human-Computer Interaction
Entity
Which, if any, entity is presented as the main cause of the risk
Human
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
Intentional
インシデントレポート
レポートタイムライン
HANOVER, N.H. — Sirey Zhang, a first-year student at Dartmouth’s Geisel School of Medicine, was on spring break in March when he received an email from administrators accusing him of cheating.
Dartmouth had reviewed Mr. Zhang’s online activ…
バリアント
「バリアント」は既存のAIインシデントと同じ原因要素を共有し、同様な被害を引き起こし、同じ知的システムを含んだインシデントです。バリアントは完全に独立したインシデントとしてインデックスするのではなく、データベースに最初に投稿された同様なインシデントの元にインシデントのバリエーションとして一覧します。インシデントデータベースの他の投稿タイプとは違い、バリアントではインシ デントデータベース以外の根拠のレポートは要求されません。詳細についてはこの研究論文を参照してください