Arash Rahnama of Modzy on explainability, fairness and bias in AI

In this episode, I have a conversation with Arash Rahnama, Head of Applied AI Research at Modzy (@arashrahnamaphd, @getmodzy, www.modzy.com). We talk about techniques for providing explainability in AI, how to pair explainability with fairness to reduce bias, how AI goes wrong and how diverse teams can provide important prior knowledge to AI systems and help govern them in the wild. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world

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Artificiality was founded in 2019 to help people make sense of artificial intelligence. We are artificial philosophers and meta-researchers. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We publish essays, podcasts, and research on AI including a Pro membership, providing advanced research to leaders with actionable intelligence and insights for applying AI. Learn more at www.artificiality.world.