Key & Peele Launches a Obama Deepfake Video to Warn Users
Kalin Ned — January 29, 2019 — Pop Culture
References: youtube & hollywoodreporter
The Obama deepfake video was launched by Jordan Peele on his Comedy Central show 'Key & Peele.' The spoof is a good example of mixing humor, politics and ground-breaking technology. In it, the 'fake' Obama is wildly convincing and makes absurd statements that "[he] would never say [...] at least not in public address."
Jordan Peele makes his Obama deepfake video using the FakeApp which "allows users to swap faces in a video with a face from another video." Concerns have been raised behind the ethics and possibilities of such technology. Comedy Central's 'Key & Peele' channels entertainment to raise awareness of the negative uses of AI-powered machine learning algorithms and the possible political, as well as social, implications.
The Obama deepfake video has currently reached about five and a half million users.
Jordan Peele makes his Obama deepfake video using the FakeApp which "allows users to swap faces in a video with a face from another video." Concerns have been raised behind the ethics and possibilities of such technology. Comedy Central's 'Key & Peele' channels entertainment to raise awareness of the negative uses of AI-powered machine learning algorithms and the possible political, as well as social, implications.
The Obama deepfake video has currently reached about five and a half million users.
Trend Themes
1. Deepfake Videos - Opportunity to explore the implications and ethical concerns of deepfake technology.
2. Humor and Politics - Chance to mix humor and politics to create engaging content and awareness.
3. AI-powered Machine Learning - Potential to examine and develop responsible uses of AI in various industries.
Industry Implications
1. Entertainment - Exploring the use of deepfake technology in creating engaging and thought-provoking content.
2. Media and Communications - Addressing the ethical considerations and implications of deepfake videos in the media industry.
3. Technology - Developing responsible AI-powered machine learning algorithms and applications to avoid negative repercussions.
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