Description: An AI-powered news site, Hoodline San Jose, falsely reported that the San Mateo County District Attorney had been charged with murder, which was an error resulting from misinterpreting a press release about a case the DA's office was prosecuting. The AI-generated article wrongly attributed the crime to the DA instead of the actual suspect.
Entities
View all entitiesAlleged: Impress3 developed an AI system deployed by Hoodline San Jose, which harmed Stephen M. Wagstaffe , San Mateo County District Attorney , Residents of San Mateo County and General public.
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

How should we feel when an AI journalist operation falsely accuses someone of murder? How about if the person falsely accused is a public figure? I know there are some questions lately about where liability should land when an AI system hal…

A controversial AI-powered local news site really stepped in it this week — by accidentally accusing a regional district attorney of murder.
As Techdirt first reported, an article appeared on Hoodline San Jose — one of the media network's m…
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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