"AI Clones Made From User Data Pose Uncanny Risks"

Researchers at the University of British Columbia imagine the possibility of a digital doppelganger or clone created from the depths of Artificial Intelligence (AI) that accurately reflects a person in appearance, speech, and behavior. New research conducted at the University of British Columbia sheds light on this possibility. With advances in deep learning technologies such as interactive deepfake applications, voice conversion, and virtual actors, it is possible to digitally replicate the appearance and behavior of an individual. This duplicate of a person produced by AI is known as an "AI clone." The study explores how these AI clones could impact self-perception, relationships, and society. The researchers identified three categories of risks AI clones pose: doppelganger phobia, identity fragmentation, and living memories. These clones are personal data-based AI technologies. As the amount of personal data people generate increases, so does the fidelity with which these AI clones replicate human behavior. This article continues to discuss the possibility of personal data being used to create an AI clone that can mimic a user's behavior, as well as the potential effects of AI clone technologies. 

The Conversation reports "AI Clones Made From User Data Pose Uncanny Risks"