Page 11 - Detecting deepfakes and generative AI: Report on standards for AI watermarking and multimedia authenticity workshop
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Detecting deepfakes and generative AI: Report on standards for AI
                                    watermarking and multimedia authenticity workshop



               3      Session 1: Setting the scene – The challenges and risks of

               deepfakes and generative AI multimedia

               The main objectives of this session were to introduce the risks posed by deepfakes and AI-
               generated content and the policy and legal measures being introduced to address those
               risks. The panel discussion explored challenges including misinformation and disinformation,
               consumer protection, copyright protection, and what policy and technological measures would
               be needed to address them.

               Opening Remarks: Bilel Jamoussi, Deputy Director, Telecommunication Standardization
               Bureau, ITU

               Moderator: Alessandra Sala, Senior Director of AI and Data Science, Shutterstock

               Speakers

               •    Sam Gregory, Director, WITNESS.
               •    Nick Thompson, CEO, The Atlantic.
               •    Robin Raskin, Founder, Virtual Events Group.
               •    Harry Yeff, the voice artist Reeps One.
               •    Helena Leurent, Director General, Consumers International.
               •    Tobias Bednarz, Legal Counsellor, Copyright Law Division, Copyright and Creative
                    Industries Sector, World Intellectual Property Organization (WIPO).

               Bilel Jamoussi, Deputy Director of ITU's Telecommunication Standardization Bureau, provided
               the opening remarks for the session and highlighted that governments are assigning high
               priority to the need to address risks posed by generative AI and deepfakes.

               The workshop discussed technical solutions and standards already available to address those
               risks and gaps still to be covered, with the aim of making recommendations on how best to
               coordinate relevant technical work and provide related information to governments in support
               of their work on relevant policies and regulations.

               Deepfake technology allows people to swap faces in videos and images, change voices, and
               alter texts in documents. Deceptive videos and images created using generative AI can be used
               for identity theft, the impersonation of popular figures, disinformation, and the bypassing of
               identity verification methods to commit fraud.




























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