Machine Unlearning, Privacy, and AI Governance: Exploring Connections, Understanding Limitations, and Interrogating Policy Assumptions

Can computer vision and multimodal systems forget?

Machine unlearning is often discussed in the context of privacy – particularly as a response to data removal requests in relation to Europe’s General Data Protection Regulation’s right to be forgotten. However, computer vision and computer science technologists rarely have the opportunity to engage directly with privacy and AI governance policy experts in Machine Unlearning (MU) discus- sions. This tutorial changes that! By bringing together researchers with MU technology expertise and others with privacy and AI governance policy expertise the tutorial aims to improve understanding between both groups. Expect presentations of cutting-edge MU approaches and active Q&A and discussion periods including about policy implications and limitations. Invited speakers include ‘YZ’ Yezhou Yang, associate professor, School of Computing and Augmented Intelligence at Arizona State University and Kairan Zhao, PhD candidate and teaching assistant in Machine Learning at the University of Warwick.