Deepfake dilemma: search for security

In a world where the boundaries between reality and digital fiction are increasingly blurring, deepfakes - artificially generated images, sounds and videos that appear deceptively real - represent a growing challenge. What is particularly alarming is the speed at which this technology is advancing. OpenAI's new service , which can produce realistic-looking videos in minutes. The study “ In Transparency We Trust? “ by the Mozilla Foundation, conducted by Ramak Molavi Vasse'i and Gabriel Udoh, delves deep into this topic to understand how AI-generated content can be labeled and what measures need to be taken to counteract the flood of deepfake.

The challenge of labeling

The study fundamentally identifies two types of marking: clearly visible markings and invisible, machine-readable watermarks. Both approaches have their advantages and disadvantages. While visible labels must be perceived and interpreted by users, invisible watermarks, such as those used Deepmind However, despite their potential, both methods alone are not sufficient to deal with the problem.

A multi-layered solution approach

Molavi and Udoh argue that a combination of technological, regulatory and educational policies are needed to combat the profound impact of deepfakes. They propose the use of invisible watermarks and at the same time advocate the development of “ Slow AI ”, which is intended to ensure the fair and safe use of AI technologies. They also emphasize the importance of education to inform citizens about the potential dangers and effects of AI-generated content.

The role of regulation and education

In order to effectively fight deepfakes, it is essential that both the technology and the associated regulatory measures are comprehensively tested before their use. The authors advocate the establishment of “regulatory sandboxes” in which new technologies and laws can be tested in a controlled environment. Such an approach makes it possible to identify vulnerabilities and further develop the technology together with civil society before it is widely deployed.

Questions and answers about deepfakes

Question 1: What are deepfakes ?
Answer 1: Deepfakes are images, sounds and videos created using AI technology that depict realistic-looking fakes.

Question 2: Why are deepfakes problematic?
Answer 2: They can be used for disinformation, manipulation and to harm individuals or society, especially in sensitive areas such as politics and elections.

Question 3: What does the Mozilla study suggest?
Answer 3: A multi-pronged approach that combines technological, regulatory and educational measures to effectively combat deepfakes.

Question 4: How can deepfakes be flagged?
Answer 4: Through clearly visible markings or invisible, machine-readable watermarks.

Question 5: What is “Slow AI”?
Answer 5: A concept that aims to regulate the development and use of AI technologies so that it is fair, safe and ethical.

Conclusion

The Mozilla study “In Transparency We Trust?” highlights the need for a comprehensive, multi-layered approach to dealing with deepfakes. It is clear that no single tool is sufficient to address the challenges posed by the rapid development of artificially generated content. Rather, it requires a combination of technological innovations, smart regulatory measures and comprehensive public education and enlightenment. These efforts must go hand in hand to protect the integrity of information in the digital age and to arm society against the potentially destabilizing effects of deepfakes.  

Source: netzpolitik

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