Ian Goodfellow is a prominent computer scientist known for inventing Generative Adversarial Networks (GANs), the technology that underpins most deepfake applications. He has held positions at Google Brain, OpenAI, and Apple, contributing significantly to the field of artificial intelligence.
Philip Wang is the founder of the popular website "This Person Does Not Exist," which showcases AI-generated human faces using GANs. His work has highlighted both the capabilities and the ethical concerns surrounding deepfake technologies.
Hao Li is an Associate Professor of Computer Science at the University of Southern California and a leading researcher in deepfake technology. His research focuses on realistic digital humans, including the creation of highly convincing deepfakes for entertainment and education.
Hany Farid is a Professor at UC Berkeley and a pioneer in digital forensics. He has developed numerous techniques to detect deepfakes and other forms of digital manipulation, working to mitigate the potential harm caused by these technologies.
Ashish Joglekar is an AI researcher known for his work in the development and ethical implications of deepfake technology. He has published several papers on the potential societal impacts and legal challenges posed by deepfakes.
Siwei Lyu is a Professor at the University at Albany, SUNY, and a leading expert in deepfake detection. He has created advanced algorithms to identify manipulated media, contributing to the fight against misinformation and digital deception.
Zeynep Tufekci is a sociologist and writer who explores the social implications of emerging technologies, including deepfakes. She has been a vocal advocate for the ethical use of AI and the need for regulatory frameworks to manage its impact.
Deepak Pathak is an Assistant Professor at Carnegie Mellon University specializing in AI and machine learning. His research includes developing new methods for creating and detecting deepfakes, as well as understanding their broader societal effects.
Danielle Citron is a law professor at the University of Virginia and a prominent figure in the study of privacy and digital ethics. Her work includes analyzing the legal implications of deepfakes and advocating for stronger protections against digital manipulation.
Alexei Efros is a Professor at UC Berkeley known for his contributions to computer vision and AI. His research has significantly advanced the understanding and capabilities of deepfake technologies, while also addressing the challenges of detecting and mitigating their misuse.