In the fourth interview of the series we are joined by Kay Firth-Butterfield (World Economic Forum), Wendell Wallach (Yale), Renée Cummings (Urban AI), and Celeste Kidd (University of California, Berkeley). This interview we’ll be focusing on something that we brought-up in the other panels but haven’t got a chance to go in-depth into: governance, bias, and ethics of AI. What do these terms mean in the context of AI and other disruptive technologies, and how do they relate to criminology (juridical system), psychology (belief formation), and economics (assumptions)? How does all this relate to social media and how is AI affecting inequality? Why is diversity and inclusivity so important in data-science and society more generally?
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