Description: 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 Most chatbots gave incorrect or outdated information, demonstrating their current limitations in handling fast-paced news.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.
Entités
Voir toutes les entitésPrésumé : Un système d'IA développé et mis en œuvre par Perplexity , OpenAI , Meta et Google, a endommagé Journalism , General public et Chatbot users.
Statistiques d'incidents
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
Rapports d'incidents
Chronologie du rapport
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…
Variantes
Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.
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