Description: A reportedly fabricated CNN broadcast graphic showing early Texas election results for the 2024 U.S. presidential race circulated on social media on November 2, 2024. The purportedly manipulated image claimed that Vice President Kamala Harris led over Donald Trump before polls opened, allegedly fueling misinformation about election integrity. CNN is reported to have confirmed the image was inauthentic, and AFP debunked the claims.
Entities
View all entitiesAlleged: Unknown AI developers developed an AI system deployed by James Woods and Anonymous X user, which harmed Texas voters , Electoral integrity , Democracy and CNN.
Alleged implicated AI system: Unknown AI image generator
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
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Pre-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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An image that purports to show CNN broadcasting results for the 2024 presidential election in Texas before Election Day is spreading across platforms, fueling claims that the race was rigged in advance to benefit Democratic candidate Kamala…
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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