"Il lato oscuro della tecnologia AI: Valutazione del quadro giuridico dell'UE sulla pornografia deepfake non consensuale".

Deepfakes refer to digitally manipulated media, such as images or videos, depicting individuals engaging in activities they have never been part of. Among the various types of deepfakes, one concerning category involves pornographic content. Perpetrators download photos or videos from users' social media profiles or other online sources, with the intention to fabricate and disseminate altered sexual material. As a result, victims may endure significant consequences, including reputational damage, emotional distress, and even commit suicide. This thesis examines the extent to which the legal protections for victims of non-consensual deepfake pornography in the European Union (EU) are sufficient. The analysis encompasses an evaluation of several relevant legislations, including the General Data Protection Regulation, the Audiovisual Media Services Directive, the E-commerce Directive, the Digital Services Act, and Copyright Law. The study argues that these legal provisions are to a large extent inadequate to address the harm caused by deepfake pornography. Furthermore, it emphasizes the need to strengthen this legal framework for the purpose of safeguarding the fundamental rights of the victims, including the right to dignity, privacy, and data protection. This investigation then analyses the proposed Artificial Intelligence Act, and the proposed Directive on Combating Violence Against Women and Domestic Violence, which offer potential avenues to enhance the protection of victims within the EU in the future. The study culminates by presenting several recommendations to safeguard the rights of individuals who have been affected by this technology. The suggestions encompass the implementation of identity verification for uploaders of pornographic content, the obligatory adoption of filtering software for platforms hosting sexual material, the establishment of educational programs, and the encouragement of proactive measures by platforms and organizations.