Description: Joseph Neal Riley reportedly used Perplexity AI to self-diagnose a rare complication of chronic lymphocytic leukemia (CLL) and, based on that output, allegedly delayed an oncologist-recommended Ven-Obi treatment for about a year. His son, Benjamin Riley, alleges that Perplexity misstated the medical research it cited, a conclusion he purportedly later confirmed with the study's authors.
Entities
View all entitiesAlleged: Perplexity AI developed and deployed an AI system, which harmed Joseph Neal Riley , Benjamin Riley , Epistemic integrity and People seeking medical advice.
Alleged implicated AI system: Perplexity AI
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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First, thank you to everyone who reached out to me over the holidays to offer their condolences on my father's passing. One touching consequence of writing a newsletter is receiving words of support from people I've never met in person, a c…
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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