Summary of What Constitutes a Deep Fake? the Blurry Line Between Legitimate Processing and Manipulation Under the Eu Ai Act, by Kristof Meding et al.
What constitutes a Deep Fake? The blurry line between legitimate processing and manipulation under the EU AI Act
by Kristof Meding, Christoph Sorge
First submitted to arxiv on: 13 Dec 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Medium Difficulty summary: The paper examines the definition of “deep fakes” in the EU AI Act, as synthetic images become increasingly popular. The authors argue that the current definition is too broad, leaving room for manipulation. They analyze the life cycle of a digital photo and find that editing functions like Google’s “best take” feature can be considered exceptions to transparency obligations. This raises questions about what constitutes substantial editing of content and whether it must be perceptible by a human. The authors conclude that complying with current AI Act transparency obligations is difficult due to unclear provisions, posing risks for providers and deployers. The paper aims to foster discussion on the definition of deep fakes and raise awareness about the pitfalls in the current transparency obligations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: This paper talks about fake images, also known as “deep fakes.” These fake images can be very convincing and are getting more popular. The European Union has rules to help prevent these fake images from being used to trick people. But, the authors of this paper think that the current definition of deep fakes is too vague, making it hard to know what counts as a fake image. They looked at how photos are edited and found that some editing features can make it harder to tell if an image is real or fake. This raises important questions about what makes an image substantially edited and whether it should be clear to the average person. The paper wants to start a conversation about what a deep fake really is and help people understand the problems with the current rules. |
