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Deep Fakes (Part 1) - Technological Advancements & Impact on Society
Manage episode 297999656 series 2954151
内容由Damien Deighan and Philipp Diesinger, Damien Deighan, and Philipp Diesinger提供。所有播客内容（包括剧集、图形和播客描述）均由 Damien Deighan and Philipp Diesinger, Damien Deighan, and Philipp Diesinger 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.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/
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