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Tuesday 21 October 2025 17:00 CET
Dr. Anjali Diwan
The advent of sophisticated artificial intelligence, particularly deep learning architectures like generative adversarial networks and diffusion models, has fundamentally altered the landscape of multimedia creation and manipulation. This talk examines the profound dual-use nature of this technology, which empowers both creative innovation and unprecedented forms of deception. We will analyze the technical mechanisms that enable the generation of highly convincing synthetic media, often termed “deepfakes.” The discussion will then assess the resultant threat landscape, encompassing political disinformation, financial fraud, and personal harassment.
Crucially, the presentation will pivot to the multidisciplinary countermeasures emerging in response. This includes the technical arms race in detection algorithms, the development of provenance standards like the Coalition for Content Provenance and Authenticity (C2PA) for certifying authenticity, and the critical role of policy and media literacy. This talk ultimately argues that safeguarding digital truth requires a concerted effort that integrates technological security with ethical foresight and societal resilience.
Dr. Anjali Diwan is an Associate Professor and Head of the Department of Computer Engineering at Marwadi University, India. Her expertise lies in Computer Vision, Machine Learning, and Deep Learning, and she actively mentors students on interdisciplinary research projects. Dr. Diwan has held several leadership roles within IEEE at the Gujarat section, Region 10, and global levels, and currently serves as a Steering Committee Member of IEEE DataPort. She is a strong advocate for open data and reproducible research and regularly promotes the use of IEEE DataPort for collaborative innovation. In addition to her academic and professional roles, she also mentors and supports startups, contributing to the growth of early-stage innovations and entrepreneurial initiatives.
