DeepFakes are not only technologies for entertainment, fraud and fakes, but also for individual protection (anonymization) from analysis (using Artificial Intelligence) and control of private life by states and corporations.

1. DeepFakes: pro & contra of
democratic order
© 2020, Vitaliy Goncharuk

2. Agenda
1. State of technology in 2020
2. State of technology in 3-5 years
3. Is it possible to control DeepFakes?
4. Synthetic media concept
5. Is DeepFakes the right to freedom and counter-technology against AI
control?
6. Synthetic media and politics
7. Synthetic media and the change of centres of power
8. Dynamics of changes in society and dynamics of AI
9. Summary
10. Sources

3. About the speaker
Vitaliy Goncharuk:
1. Founder of Augmented Pixels, Inc (autonomous
navigation for robotics) and HLAB.AI (AI for human
behaviour prediction);
2. The Head of The AI Committee of Ukraine
3. Member of AD HOC AI Committee / Council De
Europe

4. What is Deepfakes?
Deepfakes - synthetic media in which a person
in an existing image or video is replaced with
someone else's likeness (WiKi).

5. Relevance

6. Politics

7. Taboo of the body

8. Thefts

9. Fake people

10. Zoom + DeepFakes

11. Watch this video

12. Questions
- Is it possible to detect DeepFakes?
- Is it possible to control DeepFakes?
- How will DeepFakes and synthetic content
affect elections, society, government?
- What is the impact on ethics, social norms in 1-
2-5-10 years?

13. Trends

14. Mass social media
Facebook users

15. Availability of DeepFakes
technologies
Photoshop
- long
- expensive
DeepFakes
- 3-4 clicks
- 1 minute
- cheap and
mass use

16. DeepFakes opportunities in 2020
It is possible to change, completely synthesize or
simulate:
• visual series (photo-video);
• voice;
• body, head, lip movements (photorealistic 3D
model);
• environment (including physical properties);
• generating text that mimics the style;
• reproduction of mixed models (part from the real
world, part - no)

17. How can DeepFakes be controlled in 2020?
- partial and semi-automatic;
- many fake content startups have received
funding;
- in most cases because the developers
themselves are interested and add ‘water
marks’ to the synthetic content;
- it’s already possible to produce content that
cannot be detected

18. What will happen to DeepFakes in 2025?
- mass availability of tools and algorithms for
creating DeepFakes (including open source
code);
- the algorithms will be so perfect that it will be
impossible to establish the truthfulness of the
content with the help of technology;

19. How can DeepFakes be controlled in 2025?
The only effective mechanism:
A real individual claims that the content with his
participation is fake and on this basis the content
is blocked in the distribution channels.

20. Synthetic media
Synthetic media (also known as AI-generated
media) is a catch-all term for the artificial
production, manipulation, and modification of
data and media by automated means, especially
through the use of artificial intelligence
algorithms, such as for the purpose of misleading
people or changing an original meaning.

21. Synthetic media - next?
Fears of synthetic media include:
- the potential to supercharge fake news;
- the spread of misinformation;
- distrust of reality;
- mass automation of creative and journalistic jobs;
- potentially a complete retreat into AI-generated
fantasy worlds.
Synthetic media is an applied form of artificial
imagination.

22. Changes in 2020-2023
New content
distribution
channels
GOVERNMENT /
INFLUENCE
Changing trust
mechanisms
Synthetic
media

23. Is everything new long forgotten?

24. First Synthetic media

25. Improved Synthetic media

26. Photorealistic Synthetic media

27. in 1900
100% FAKE 99% “TRUE”
- talking now
- see now
1900

28. in 1990
100% FAKE 90% “TRUE”
- talking now
- see now

29. in 2020
100% FAKE 50% “TRUE”
- talking now
- see now

30. in 2025?
100% FAKE 15% “TRUE”
- talking now
- see now

31. Changing the impact
Content
creators
Owners of
content
distribution
channels

32. What will happen in Politics?
- election manipulation
- virtualization of politicians (including completely
fake characters)
- automation of communication with voters
(using technologies for creating synthetic
content)
- maximum individualization of political messages
- Competition for distribution channels

33. Destruction and creation of new institutions
- trust
- “truth“
- “scientific knowledge“
- norms of behaviour
- Delegation
- representation of interests

34. Ethical problems

35. Summary
DeepFakes are not only technologies for
entertainment, fraud and fakes, but also for
individual protection (anonymization) from
analysis (using Artificial Intelligence) and control
of private life by states and corporations.

36. Everything will be fine!

37. Contacts
E-mail:
vactivity@gmail.com
WhatsApp:
+14086684340
Facebook:
https://www.facebook.com/vactivity

38. Sources
1. New AI deepfake app creates nude images of women
in seconds
https://www.theverge.com/2019/6/27/18760896/dee
pfake-nude-ai-app-women-deepnude-non-consensual-
pornography
2. Fake face https://www.youtube.com/watch?v=IQ7pn-
u0gOs
3. Fake voice
https://www.youtube.com/watch?v=t5yw5cR79VA
4. Fake voice and video https://youtu.be/gLoI9hAX9dw

39. Sources
6. Як технології змінюють владу
https://nv.ua/ukr/opinion/shtuchniy-intelekt-u-verhovniy-radi-
novini-ukrajini-50042007.html
7. The rise of the deepfake and the threat to democracy
https://www.theguardian.com/technology/ng-
interactive/2019/jun/22/the-rise-of-the-deepfake-and-the-
threat-to-democracy
8. Is seeing still believing? The deepfake challenge to truth in
politics
https://www.brookings.edu/research/is-seeing-still-believing-
the-deepfake-challenge-to-truth-in-politics/

40. Sources
9. Synthetic media
https://en.wikipedia.org/wiki/Synthetic_media