概要: An unnamed AI chatbot was reportedly used by Guy Edward Bartkus and Daniel Park, the perpetrators of the 2025 Palm Springs fertility clinic bombing, to research explosive materials and optimize fuel mixtures. Records show the chatbot responded to queries related to ammonium nitrate fuel oil (ANFO) composition. The bombing resulted in one death, four injuries, and significant structural damage.
Editor Notes: See also Incident 886: ChatGPT Reportedly Referenced During Las Vegas Cybertruck Explosion Planning, including its editor's notes on the AIID's "but-for" causation standard. This incident shares narrative parallels, particularly regarding the reported use of generative AI tools in the planning stages of violent acts.
Alleged: Unknown large language model developer developed an AI system deployed by Guy Edward Bartkus と Daniel Park, which harmed Staff of American Reproductive Centers in Palm Springs , Patients of American Reproductive Centers in Palm Springs , Occupants and residents of buildings adjacent to American Reproductive Centers in Palm Springs と American Reproductive Centers in Palm Springs.
関与が疑われるAIシステム: Unknown large language model
インシデントのステータス
インシデントID
1104
レポート数
3
インシデント発生日
2025-05-17
エディタ
Daniel Atherton
インシデントレポート
レポートタイムライン
A Washington state man was arrested on a federal criminal complaint alleging he provided material support to the Palm Springs fertility clinic bomber by shipping and paying for significant quantities of ammonium nitrate – an explosive precu…
Two men suspected in last month's bombing of a Palm Springs, California fertility clinic used a generative artificial intelligence chat program to help plan the attack, federal authorities said Wednesday.
Records from an AI chat application…
Santul Nerkarによるインシデント後のレスポンス
A Washington State man was accused on Wednesday of helping to plot and carry out the bombing of a California fertility clinic that killed one person and damaged buildings on several city blocks last month.
The man, Daniel Park, 32, was char…
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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