Description: Following the fatal shooting of Minneapolis ICU nurse Alex Pretti by U.S. Customs and Border Patrol agents, social media accounts reportedly circulated images purported to have been altered by AI, reportedly distorting evidence of the incident by portraying Pretti as threatening law enforcement and altering the presence of weapons. The images reportedly misidentified individuals and helped reinforce partisan narratives by purportedly obscuring verified video and eyewitness accounts.
Entities
View all entitiesAlleged: Google developed an AI system deployed by Pro-Trump social media influencers , Unidentified social media users , Partisan online accounts and Information manipulation actors, which harmed Alex Pretti , Family of Alex Pretti and Epistemic integrity.
Alleged implicated AI system: Gemini
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.1. Disinformation, surveillance, and influence at scale
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.
- Malicious Actors & Misuse
Entity
Which, if any, entity is presented as the main cause of the risk
Human
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
Intentional
Incident Reports
Reports Timeline
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Across social media, pro-Trump influencers and others muddled the evidence of the killing of a nurse in Minneapolis on Saturday with social media posts that included misdirection and fabricated content.
While verified videos and witnesses s…
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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