Webinars

Using Data & Analytics for Equitable Social Good

Can AI, ML and Data Science help prevent children from getting lead poisoning? Can it reduce infant and maternal mortality? Can it reduce police violence and misconduct? Can it help cities better target limited resources to improve the lives of citizens and achieve equity? We’re all aware of the potential of ML and AI but turning this potential into tangible and equitable social impact involves dealing with both technical and ethical challenges. In this talk, Rayid Ghani will discuss lessons learned from working on 60+ projects over the past few years with non-profits and governments on high-impact public policy and social challenges in criminal justice, public health, education, economic development, public safety, workforce training, and urban infrastructure. He will highlight opportunities as well as challenges ethics, bias, and fairness that need to be tackled in order to have social and policy impact in a fair and equitable manner.

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