概要: The author Chris Cowell had spent more than a year writing his book "Automating DevOps with GitLab CI/CD Pipelines" when, three weeks before its release, another book appeared bearing the exact title by an author (Marie Karpos) for whom no information could be found. The book appeared to have been written by ChatGPT. While the original Washington Post story does not say so, it is possible the name and description were taken from the Amazon preorder page.
Alleged: OpenAI と ChatGPT developed an AI system deployed by InKstall と Marie Karpos, which harmed Chris Cowell.
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
6.3. Economic and cultural devaluation of human effort
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.
- Socioeconomic & Environmental Harms
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
Chris Cowell, a Portland, Ore.-based software developer, spent more than a year writing a technical how-to book. Three weeks before it was released, another book on the same topic, with the same title, appeared on Amazon.
"My first thought …
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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