Deepfakes: Artificial intelligence's role in fake news
Céline Castets-Renard (English and French)
University Research Chair on Accountable Artificial Intelligence in a Global Context, and Full Professor, Faculty of Law - Civil Law Section.
Celine.Castets-Renard@uottawa.ca
“Deepfakes are popular and often used to make people laugh. But they can also sew harm when they are used to spread fake news or to spread disinformation and political manipulation. This impacts the fundamentals of democracy, free expression and freedom of the press.
“The stakes become high when this touches fundamental rights and democracy and these practices should be regulated by Bill C-27, which touches on AI and data. The European draft regulation (AI act) provides for the creation to inform, which could inspire the Canadian legislator. EU Article52(3) reads: Users of an AI system that generates or manipulates image, audio or video content that appreciably resembles existing persons, objects, places or other entities or events and would falsely appear to a person to be authentic or truthful (‘deep fake’), shall disclose that the content has been artificially generated or manipulated."
WanSook Lee (English only)
Full Professor, School of Electrical Engineering and Computer Science, Faculty of Engineering.
wslee@uOttawa.ca
Professor WanSook Lee's research interests include machine / deep learning and artificial intelligence.
"The way to create fake content using Deep Learning is so powerful that any method used to detect these falsities can then be used to produce more powerful AI systems, and these can then create more refined fake content. The only way to prevent false content like deep fakes that can be used to deceive is for the government to enable rules and policies to combat them."
