Description: Google’s AI chatbot Gemini reportedly produced a threatening message to user Vidhay Reddy, including the directive “Please die,” during a conversation about aging. The output violated Google’s safety guidelines, which are designed to prevent harmful language.
Editor Notes: Link to the conversation: https://gemini.google.com/share/6d141b742a13
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The OECD AI Incidents and Hazards Monitor (AIM) automatically collects and classifies AI-related incidents and hazards in real time from reputable news sources worldwide.
Entities
View all entitiesAlleged: Google developed an AI system deployed by Gemini, which harmed Vidhay Reddy and Gemini users.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.2. Exposure to toxic content
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.
- Discrimination and Toxicity
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
Incident Reports
Reports Timeline
A college student in Michigan received a threatening response during a chat with Google's AI chatbot Gemini.
In a back-and-forth conversation about the challenges and solutions for aging adults, Google's Gemini responded with this threateni…
A 29-year-old college student claimed that he faced an unusual situation that left him “thoroughly freaked out” while using Google’s AI chatbot Gemini for homework. According to him, the chatbot not only verbally abused him but also asked h…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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