概要: 2023年10月、テキサス州フォートワース郊外のアレド高校に通う、名前を伏せられた男子生徒が、クラスメイトのエリストン・ベリーと友人グループの女子生徒6人のディープフェイクヌード写真を作成し、ソーシャルメディアで拡散した疑いが持たれています。ベリーの母親であるアンナ・マクアダムス氏は、テッド・クルーズ上院議員とエイミー・クロブシャー上院議員と協議を行い、両議員は「ウェブサイトやネットワーク上の技術的ディープフェイクを固定化することで既知の悪用に対処するためのツール(TAKE IT DOWN)」法案を起草しました。
Editor Notes: Note on the timeline: 10/15/2023 is an approximate date for the incident. According to reports, it occurred sometime in October 2023. Reporting on the incident did not emerge until mid-June 2024. Refer to Incident 597 for another case with similar timing and a shared focus on advancing advocacy against the misuse of deepfake technology for nonconsensual abuse.
Alleged: Unknown deepfake technology developer developed an AI system deployed by Unnamed male student, which harmed Elliston Berry と Aledo High School students.
関与が疑われるAIシステム: Unknown deepfake app
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