概要: Generative AI hallucinated non-existent software packages, which were then created and uploaded (as an experiment) by security researcher Bar Lanyado. One such package, "huggingface-cli," was downloaded over 15,000 times, including by large companies like Alibaba. Regardless of the framing of it as an experiment, this incident is an example of harm caused by AI-generated hallucinations in coding, as the fake packages were still distributed widely and with potential malware.
Alleged: Bar Lanyado developed an AI system deployed by Developers using AI-generated suggestions と Bar Lanyado, which harmed Developers and businesses incorporating AI-suggested packages と Alibaba.
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
2.2. AI system security vulnerabilities and attacks
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.
- Privacy & Security
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
Several big businesses have published source code that incorporates a software package previously hallucinated by generative AI.
Not only that but someone, having spotted this reoccurring hallucination, had turned that made-up dependency in…
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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Did our AI mess up? Flag the unrelated incidents