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Deep Fakes (Part 1) - Technological Advancements & Impact on Society
Manage episode 297999656 series 2954151
Damien Deighan and Philipp Diesinger, Damien Deighan, and Philipp Diesinger에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Damien Deighan and Philipp Diesinger, Damien Deighan, and Philipp Diesinger 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
This is Part one of our conversation about Deep Fakes with two experts in their respective fields.
We talk to Dr Eileen Culloty of the Institute for Future Media and Journalism at Dublin City University and Dr Stephane Lathuiliere of Telecom Paris.
Stephane reveals what is possible and what is not possible technically with current Deep Fakes Technology.
Eileen helps us cut through the hype about Deep Fakes and tells us about their real world social and political impact.
EPISODE SUMMARY:
- Short History of Media Manipulation
- The breakthroughs in Deep Learning enabling current Deep Fake Technology.
- The role of increased data availability in generating Deep Fakes.
- Why Cheap fakes are still a bigger problem than Deep Fakes.
- How the First Order Motion Model has advanced the field of Image Animation.
- Positive use cases of Deep Fake Technology.
- The Future of Image Animation/Deep Fake Technology.
- Challenges for media and Journalism in the age of Deep Fake Technology.
- Societal impact of Disinformation and fake news content.
- Deep Fakes V Cheap Fakes during COVID Pandemic.
RESOURCES:
Video of First Order Motion Model For Video Animation:
https://www.youtube.com/watch?v=u-0cQ-grXBQ&ab_channel=AliaksandrSiarohin
PROVENANCE program: https://fujomedia.eu/provenance/
26 에피소드
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