Ars Boni 635 What Can Public AI Really Be?
About this episode
Rumman Chowdhury discusses the accountability of AI systems and participatory approaches to testing and improving AI.
What Can Public AI Really Be? Rumman Chowdhury on Red Teaming, Responsibility and Thinking About Thinking when it comes to AI Rumman Chowdhury brings together data science, policy, ethics and industry experience to ask how AI systems can become more accountable in practice. In this episode, we speak about participatory approaches to testing and improving AI, from large scale red teaming events to safety and responsibility frameworks grounded in real world harms and public involvement. We also ask what public AI can really mean today, and get a glimpse into her current book project on thinking about thinking. This episode will be cohosted by Dr. Katja Mayer. Katja is a scholar in Science and Technology Studies (STS), works at the University of Vienna in Austria and at the Center for Social Innovation and serves a programme chair for dighum 2026.Links:https://dighum.wien/https://www.rummanchowdhury.com/https://www.katjamayer.net/
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