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Incident 674: Manipulated Media via AI Disinformation and Deepfakes in 2024 Elections Erode Trust Across More Than 50 Countries

Description: AI-driven election disinformation is escalating globally, leveraging easy-to-use generative AI tools to create convincing deepfakes that mislead voters. This shift has simplified the process for individuals to generate fake content, having already eroded trust in elections by undermining public trust and manipulating voter perceptions. Evidence has, for example, been documented in incidents across the U.S., Moldova, Slovakia, Bangladesh, and Taiwan.
Editor Notes: This incident ID is for collective incident reports that detail and survey worldwide AI disinformation campaigns rather than just nation, state, or local incidents. Such related incident IDs should when possible be marked as a similar incident ID so that we can connect this ID to the others.

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Alleged: Unknown deepfake creators , OpenAI and Google developed an AI system deployed by Russian government , Political operatives , Political consultants and Chinese Communist Party, which harmed Voters , Public trust , Political figures , General public , Electoral integrity , Democracy and Civic society.

Incident Stats

Incident ID
674
Report Count
1
Incident Date
2024-03-14
Editors
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

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.
 
  1. 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

+1
Election disinformation takes a big leap with AI being used to deceive worldwide
Election disinformation takes a big leap with AI being used to deceive worldwide

Election disinformation takes a big leap with AI being used to deceive worldwide

apnews.com

Election disinformation takes a big leap with AI being used to deceive worldwide
apnews.com · 2024

LONDON (AP) --- Artificial intelligence is supercharging the threat of election disinformation worldwide, making it easy for anyone with a smartphone and a devious imagination to create fake -- but convincing -- content aimed at fooling vot…

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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Selected by our editors
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