概要: At a high school in Issaquah, Washington, a male student is reported to have used deepfake technology to alter pictures of several female classmates and then shared them.
Alleged: unknown developed an AI system deployed by Unnamed male student, which harmed Anonymous female high school students.
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
4.3. Fraud, scams, and targeted manipulation
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.
- Malicious Actors & Misuse
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
:quality(70)/d1hfln2sfez66z.cloudfront.net/11-09-2023/t_6f2d9161f0dc4f479eebb782100221a1_name_7s_Issaquahe_HS_Fake_Nude_Pics_transfer_frame_508.jpeg)
:quality(70)/d1hfln2sfez66z.cloudfront.net/11-09-2023/t_6f2d9161f0dc4f479eebb782100221a1_name_7s_Issaquahe_HS_Fake_Nude_Pics_transfer_frame_508.jpeg)
ISSAQUAH, Wash. — KIRO 7 has learned from a parent of an Issaquah High School student that AI-generated pornographic images have been circulating around the school recently. We also learned that a teenage boy took photos of several of his f…
Natasha Singerによるインシデント後のレスポンス
Caroline Mullet, a ninth grader at Issaquah High School near Seattle, went to her first homecoming dance last fall, a James Bond-themed bash with blackjack tables attended by hundreds of girls dressed up in party frocks.
A few weeks later, …
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
