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The Implications of Synthetic Content: Safeguarding Democratic Processes Against Deepfakes and AI-Generated Content

Lead Research Organisation: UNIVERSITY COLLEGE LONDON
Department Name: Computer Science

Abstract

This PhD thesis explores the impact of technology capable of creating synthetic media,
including deepfakes and other AI-generated content, on democratic processes. It examines the
potential harms posed by these technologies, such as automated misinformation campaigns
and interactive persuasion tools, and evaluates strategies to mitigate these risks. Through a
comprehensive analysis, the research seeks to understand how synthetic content can influence
electoral integrity and public discourse. The goal of this thesis is to provide a comprehensive
understanding of how synthetic content impacts democratic integrity and to ideate and test
strategies to mitigate associated risks, ultimately contributing to the safeguarding of democratic
processes in the age of artificial intelligence

People

ORCID iD

Ales Cap (Student)

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S022503/1 31/03/2019 23/11/2028
2873128 Studentship EP/S022503/1 30/09/2023 29/09/2027 Ales Cap