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The Future of AI for Social Impact

The key thrust behind the fast emerging area of AI for Social Impact (AISI) has been to apply AI research to address societal challenges. AI has great potential to provide tremendous societal benefits, having been successfully deployed in areas spanning public health, environmental sustainability, education, public welfare, among many others. In AI, we have just recently begun to define this topic as its own area of research, and we have just started understanding that AISI includes more than simply providing methodological advances in terms of newer models and algorithms. During this moderated discussion, we hear from four early-career leaders in the field of AI for Social Impact on where AISI is going, the direction where it should go, and how we can get there. Panelists: Fei Fang (CMU), Lynn Kaack (Hertie School), Danaë Metaxa (Stanford/Penn), and Bryan Wilder (Harvard/CMU). Moderated by Lily Xu and Kai Wang.