概要: An AI-powered website by Washington State's Lottery is reported to have inadvertently produced a softcore pornographic image of a user, leading to the site’s immediate shutdown out of caution.
推定: が開発し提供したAIシステムで、に影響を与えた
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
1.2. Exposure to toxic content
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
translated-ja-A new Washington's Lottery AI mobile site turned a user's photo into softcore pornography, forcing them to take the website down "out of an abundance of caution."
When Megan, a 50-year-old mother based in Tumwater, visited the…
translated-ja-A user of the Washington Lottery's "Test Drive a Win" website says it used AI to generate (the unredacted version of) this image with her face on a topless body.
The Washington State Lottery has taken down a promotional AI-pow…
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