Incident 39: Deepfake Obama Introduction of Deepfakes
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CSET Taxonomy ClassificationsTaxonomy Details
In 2017, researchers at the University of Washington used 14 hours of audio and video clips spoken by President Barack Obama to create a deepfake video. One year later, comedian Jordan Peele also created a fake video of Obama to highlight the ease of faking public statements, but used his own voice impression instead.
University of Washington researchers made a deepfake of Obama, followed by Jordan Peele
Harm to social or political systems
AI System Description
In the 2017 case, a recurrent neural network was used to generate synthetic video. In the 2018 case, a proprietary model developed by FakeApp was used to generate synthetic video.
University of Washington, FakeApp
Sector of Deployment
Information and communication
Relevant AI functions
University of Washington, Jordan Peele, Barack Obama
University of Washington, Jordan Peele
Deliberate or expected
14 hours of footage from Obama's public statements and addresses (2017), Jordan Peele's voice and lip movements (2018)
GMF Taxonomy ClassificationsTaxonomy Details
Known AI Goal
Deepfake Video Generation
Known AI Technology
Neural Network, Face Detection, Recurrent Neural Network, Generative Adversarial Network
Potential AI Technology
Potential AI Technical Failure
Misinformation Generation Hazard
Photo: University of Washington.
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It always starts with porn.
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Fake news, meet artificial intelligence.
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How will artificial intelligence affects jobs?
Let’s hear from Barack Obama on the future of the world.
To learn more, check out: 10 Key Robotics Facts You Need to Know and 10 Ways Robotics Could Transform Our Future.
“All of this is fun and late night comedy and video games – until it isn’t,” says former White House senior advisor David Edelman
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