Incident 742: translated-fr-Grok AI Model Reportedly Fails to Produce Reliable News in Wake of Trump Assassination Attempt
Description: translated-fr-xAI's model Grok, intended to automate news delivery on the X platform, is reported to have struggled to provide accurate information during the attempted assassination of former President Donald Trump. Grok apparently issued incorrect headlines, including false reports about Vice President Kamala Harris being shot and misidentifying the alleged shooter. These errors show the pitfalls of relying on AI for real-time news aggregation, as it allegedly amplified unverified claims and failed to recognize sarcasm, undermining its reliability.
Editor Notes: Incident 750 is closely related to this incident. This incident 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 entitésAlleged: xAI developed an AI system deployed by X (Twitter) et Elon Musk, which harmed Kamala Harris , Journalism , General public et Donald Trump.
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
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Variantes
Une "Variante" est un incident de l'IA similaire à un cas connu—il a les mêmes causes, les mêmes dommages et le même système intelligent. Plutôt que de l'énumérer séparément, nous l'incluons sous le premier incident signalé. Contrairement aux autres incidents, les variantes n'ont pas besoin d'avoir été signalées en dehors de la base de données des incidents. En savoir plus sur le document de recherche.
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