AI-Generated Characters: Putting Deepfakes to Good Use

Valdemar Danry, Joanne Leong, Pat Pataranutaporn, Pulkit Tandon, Yimeng Liu, Roy Shilkrot, Parinya Punpongsanon, Tsachy Weissman, Pattie Maes, and Misha Sra. 2022. AI-Generated Characters: Putting Deepfakes to Good Use. In CHI Conference on Human Factors in Computing Systems Extended Abstracts. Association for Computing Machinery, New York, NY, USA, Article 119, 1–5.


AI generated characters, i.e., realistic renderings of human faces, voices, and mannerisms that appear authentic to a human being [7] are made possible through advancements in generative machine learning. In addition to character creation, neural networks have recently also been used for the hyper-realistic synthesis and modification of prose, images, audio, and video data.

While this technology has been most widely associated with media manipulation and the spread of misinformation, often referred to as deepfakes, it is increasingly being used for positive applications and integrated into areas ranging from entertainment, to humanitarian efforts and education. With the adaptation and usage of AI generated characters across different industries, we see a potential for significant positive applications in a variety of fields such as learning, privacy, telecommunication, art, and therapy. In this workshop, we will bring together researchers in HCI, AI, and related fields to explore the positive applications, design considerations, and ethical implications of using AI generated characters and related forms of synthetic media. 

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