We can harness unprecedented amounts of data using AI, creating opportunities to tackle major societal problems in numerous domains, such as health, well-being, and mobility. To make AI useful, we need to find new ways to combine the creative power of humans with the analytical capabilities of computers. While designing solutions and developing systems for social good, a key challenge lies in finding out how to help designers, experts, and societal stakeholders work together with AI to prepare, realize and evaluate design interventions. How can we reduce design complexity for large-scale social interventions?
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University of Maryland
University of Chicago
School of Computing at KAIST
Microsoft Research
Delft University of Technology
Head of Tech Research @ Personalization at Spotify
Head of Data Science at Miro