Kerry McInerney and Eleanor Drage | The Good Robot: Why AI Needs Feminism
What is good technology? Is it even possible? And how can feminism help us work toward it?
Join Kerry McInerney and Eleanor Drage, researchers at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge, as they discuss these crucial questions and their new book, The Good Robot: Why Technology Needs Feminism. McInerney and Drage are co-hosts of “The Good Robot” podcast and co-editors of Feminist AI: Critical Perspectives on Algorithms, Data and Intelligent Machines.
Related Events
Alexandr Lenk & Arvind Karunakaran | Industry Conversation with Instacart
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Daniel Zhang, Caroline Meinhardt, Jiajun Wu, and Russell Wald | The World Model and Spatial Intelligence Era: Governing AI Beyond Language
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
Empirical Methods in the Age of AI Conference
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.