概要: Over a week of back-to-back, significant breaking political news stories, including the Trump rally shooting and Biden’s campaign withdrawal, AI chatbots reportedly failed to provide accurate real-time updates. Most chatbots gave incorrect or outdated information, demonstrating their current limitations in handling fast-paced news. These incidents suggest the continuing need for improved AI capabilities and caution in their deployment for real-time news dissemination.
Editor Notes: Incident 750 is closely related to Incident 742. Incident 742 focuses on Grok AI's performance in the wake of the Trump assassination attempt. Incident 750 discusses a variety of different chatbots' performances, but does not mention Grok AI, in the wake of both the Trump assassination attempt and Biden dropping out of the presidential election.
推定: Perplexity , OpenAI , Meta と Googleが開発し提供したAIシステムで、Journalism , General public と Chatbot users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
3.1. False or misleading information
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.
- Misinformation
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
In the hour after President Biden announced Sunday that he would withdraw from the 2024 campaign, most popular AI chatbots seemed oblivious to the news. Asked directly whether he had dropped out, almost all said no or declined to give an an…
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
