概要: Facebook's AI system allegedly mislabeled around 20 posts from the Auschwitz Memorial Museum as violating community standards for "bullying" and "nudity," reportedly deleting at least one image of orphans. The purported misclassification of historical content allegedly prompted outrage from the museum, which reportedly demanded an explanation. Meta later purportedly apologized, attributing the issue to mistaken notices sent by its AI system and reportedly acknowledged that the posts did not, in fact, violate company policies.
推定: Meta と Facebook が開発し提供したAIシステムで、Survivors of Holocaust victims , General public と Auschwitz Memorial Museumに影響を与えた
関与が疑われるAIシステム: Facebook
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
7.3. Lack of capability or robustness
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.
- AI system safety, failures, and limitations
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
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translated-ja-Facebook has apologised for wrongly labelling photographs of Auschwitz victims as showing "bullying" and "nudity".
The social media giant incorrectly labelled 20 of the Auschwitz Memorial Museum's posts with a note saying they…
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
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