The Truth About Deep Fakes, and What We Should Do About Them | Ben Colman | TEDxMidAtlantic

Описание: Ben Colman dives deep into the world of DeepFakes and generative AI, exposing both the extraordinary advancements and the unsettling consequences that have emerged. Colman articulates how decreasing hardware and software costs has made powerful generative AI tools accessible to virtually anyone. While these advancements enable creative and positive uses, they also open the doors to nefarious activities, including identity fraud and non-consensual pornography. Colman provides a sobering analysis of the exponential increase in DeepFakes, illustrating its impact through alarming statistics and real-world examples. He discusses the challenges governments and institutions face in detecting and regulating this rapidly evolving technology. Drawing on his expertise and research at Reality Defender, Colman explains the complexities of identifying AI-generated media and the limitations of current detection methods. He highlights the urgent need for innovative solutions and regulatory frameworks to protect individuals and societies from the dark side of AI. Colman offers a glimpse into potential safeguards and legislative efforts, emphasizing the importance of bipartisan support in tackling this global issue. This talk is a wake-up call and a beacon of hope, showing a path toward responsible and safe AI use as we navigate the intersection of technology, ethics, and human values. Ben Colman is the founder of Reality Defender, the leading provider of deepfake detection. Over the past 15 years, Ben has scaled multiple companies at the intersection of privacy, AI, and cyber security. Prior to this, Ben led cyber commercialization at Goldman Sachs, and was a graduate intern at Google. Ben holds a master's degree from New York University and a bachelor's degree from Claremont McKenna College.

Reality Defender is a deepfake detection platform for enterprises, governments, and platforms to detect AI-generated content and manipulations across audio, video, image, and text files. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx