Description: A deepfake video falsely depicting Martin Luther King Jr. endorsing Donald Trump circulated on X, where it was viewed over 10 million times. The video, created by pro-Trump accounts, was condemned by King’s daughter, Bernice King, who called it “vile” and demanded its removal.
Entities
View all entitiesAlleged: Unknown deepfake technology developer developed an AI system deployed by Pro-Trump social media accounts , MAGA Resource , Ramble Rants , Dilley Meme Team and X (Twitter), which harmed Martin Luther King Jr. , Bernice King , Family of Martin Luther King Jr. , Electoral integrity and Democracy.
Implicated AI systems: X (Twitter) and Unknown deepfake tool
Incident Stats
Incident ID
862
Report Count
3
Incident Date
2024-11-03
Editors
Daniel Atherton
Incident Reports
Reports Timeline
washingtonpost.com · 2024
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The Rev. Martin Luther King Jr.'s daughter Bernice on Monday condemned an artificially generated video of the Civil Rights leader praising former president Donald Trump, as both parties court Black voters ahead of Election Day.
The video, p…
thehill.com · 2024
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Bernice King, daughter of civil rights icon the Rev. Martin Luther King Jr., is calling for a Trump-supporting social media account to remove an ad featuring her father generated by artificial intelligence (AI).
In a video posted to the so…
the-independent.com · 2024
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The daughter of Martin Luther King Jr has rebuked an AI-generated video that depicts the long-dead civil rights leader endorsing Donald Trump.
The video, which features a synthetic version of King's voice and likeness, was posted on the soc…
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.