Description: GOP pollster Patrick Ruffini shared AI-generated images depicting Black men supporting the Republican Party just before Black History Month. These fabricated photos misled the public by creating a false narrative of racial diversity within the GOP, undermining trust and potentially influencing voter perceptions. The incident raises significant concerns about the misuse of AI to spread misinformation and manipulate political representation, particularly affecting Black communities.
Entities
View all entitiesAlleged: Unknown deepfake creator developed an AI system deployed by Patrick Ruffini, which harmed General public , Democracy , Black Americans and African-American voters.
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
As Republicans' desperate quest for Black friends continues, a GOP pollster is putting the message out that a "Republican victory in 2024" is dependent on the party's to bring Black voters to MAGA Land.
The pollster demonstrated that sentim…
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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