Description: Several major AI chatbots, including ChatGPT, Copilot, Gemini, and Meta AI, were reportedly found to have provided incorrect or misleading financial and insurance guidance for UK users. The systems allegedly advised exceeding ISA limits, misstated tax rules, gave wrong travel insurance requirements, and pointed users toward costly refund services.
Entities
View all entitiesAlleged: OpenAI , Microsoft , Meta , Google , Large language model developers and Chatbot developers developed an AI system deployed by OpenAI , Microsoft , Meta and Google, which harmed Meta AI users , General public of the United Kingdom , General public , Gemini users , Epistemic integrity , Copilot users , ChatGPT users and Chatbot users.
Incident Stats
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
Incident Reports
Reports Timeline
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Artificial intelligence chatbots are giving inaccurate money tips, offering British consumers misleading tax advice and suggesting they buy unnecessary travel insurance, research has revealed.
Tests on the most popular chatbots found Micros…
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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