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Deep Fakes (Part 1) - Technological Advancements & Impact on Society
Manage episode 297999656 series 2954151
Το περιεχόμενο παρέχεται από το Damien Deighan and Philipp Diesinger, Damien Deighan, and Philipp Diesinger. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Damien Deighan and Philipp Diesinger, Damien Deighan, and Philipp Diesinger ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.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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