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
インシデントレポート
レポートタイムライン
Remember when we said that the online bar exam’s “cheating” algorithm was going to be a problem? It already flagged Black and Brown folks for merely existing, but it didn’t stop there and managed to key in on all sorts of people as likely c…
More than one-third of those who took California’s first online bar exam in October were flagged for possible cheating, based on alerts sent by the test’s software, the state bar said.
Of the 9,301 people who took the entire exam, “we are c…
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
似たようなものを見つけましたか？
