Our researchers ask the experts: what is good technology? Is ‘good’ technology even possible? And what does feminism have to say about it?
In the new podcast, The Good Robot, researchers Eleanor Drage and Kerry Mackereth invite scholars, industry practitioners, activists, and more to provide their unique perspectives on what feminism can bring to the tech industry and the way we think about technology.
You can subscribe to The Good Robot on the Apple Store, Spotify and other venues. Visit the podcast webpage or twitter feed for more information.
First episodes feature:
Catherine D'Ignazio, Professor of Urban Science and Planning in the Department of Urban Studies and Planning MIT and Director of the Data + Feminism Lab, about applying programming skills to social justice work, and how data science can produce better outcomes when grounded in feminist scholarship and practice.
The Venerable Tenzin Priyadarshi, President and CEO of the Dalai Lama Centre for Ethics and Transformative Values at MIT, on how Buddhism can inform AI ethics.
N. Katherine Hayles, Distinguished Professor of English at UCLA and James B. Duke Professor of Literature Emerita at Duke University, on feminism, embodiment, cognition, and human-AI relationships.
Priya Goswami, anti-FGC activist, award-winning filmmaker, and CEO and founder of the AI-driven app Mumkin, on feminist data practices and building apps that ‘do good’.
Anita Williams, Gates technology scholar, ex-Googler and counter-abuse policy and platform protection specialist on the new challenges arising in the area of online abuse.
The Good Robot Podcast is part of the Gender and Technology project, a collaboration between the Leverhulme Centre for the Future of Intelligence and the Centre for Gender studies at the University of Cambridge. The project, is generously funded by Christina Gaw and seeks to translate scholarship into practical knowledge for industry, while also allowing industry approaches to inform academic work in the field of Gender Studies. It ultimately aims to provide the AI sector with practical tools for creating more equitable AI informed by intersectional feminist knowledge.