Can Machines Learn How to Behave?
with Blaise Agüera y Arcas
September 24, 2022 16:00 BST/ 11:00 EDT/ 08:00 PST
Can Machines Learn How to Behave?
Blaise Agüera y Arcas is a VP and Fellow at Google Research, where he leads an organization working on both basic research and new products in AI. His focus is on augmentative, privacy-first, and collectively beneficial applications, including on-device ML for Android phones, wearables, and the Internet of Things. One of the team’s technical contributions is Federated Learning, an approach to training neural networks in a distributed setting that avoids sharing user data. In response to his recent article ‘Can Machines Learn How to Behave?’ - AI value alignment: whether and how AIs can be imbued with human values, we will explore through open discussion what these technologies can offer an Interspecies Internet.
About the Speaker:
Blaise Agüera y Arcas is a VP and Fellow at Google, and Google’s CTO of Technology & Society. He leads an organization working on the foundations of AI and evolution. In his tenure at Google he has innovated on-device ML for Android and Pixel, and is the inventor of Federated Learning. As a frequent public speaker, he has given multiple TED talks and keynoted NeurIPS. He has also authored numerous papers, essays, op eds, and book chapters, as well as several books: Ubi Sunt, Who Are We Now?, What Is Life?, and What Is Intelligence?, forthcoming from MIT Press.
