BROADCASTS.com

b'Today we continue our ICLR coverage joined by Been Kim, a staff research scientist at Google Brain, and an ICLR 2022 Invited Speaker. Been, whose research has historically been focused on interpretability in machine learning, delivered the keynote Beyond interpretability: developing a language to shape our relationships with AI, which explores the need to study AI machines as scientific objects, in isolation and with humans, which will provide principles for tools, but also is necessary to take our working relationship with AI to the next level.\\xa0\\nBefore we dig into Been\\u2019s talk, she characterizes where we are as an industry and community with interpretability, and what the current state of the art is for interpretability techniques. We explore how the Gestalt principles appear in neural networks, Been\\u2019s choice to characterize communication with machines as a language as opposed to a set of principles or foundational understanding, and much much more.\\nThe complete show notes for this episode can be found at twimlai.com/go/571'