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SXSW 2019

Artificial Intelligence for Social Good

Rapid advances in artificial intelligence (AI) continue to open up new possibilities for using AI to tackle today's most challenging societal problems. Bringing together a set of advanced AI methods including machine learning, human behavior modeling and citizen science (to name a few) -- and providing a much deeper understanding of these methods -- allows us to address current challenges with an eye toward promoting social good. Learn how AI can be applied in areas such as healthcare, urban planning, social welfare and wildlife protection to help disseminate important health-based information, control traffic, address youth homelessness and control wildlife poaching + product trafficking.

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Additional Supporting Materials


  1. How smart signals guide traffic at a network of 50 intersections in Pittsburgh (key AI methods include constraint-based reasoning + optimization)
  2. How to protect wildlife security and prevent poaching (key AI methods include game theory, human behavior modeling + optimization)
  3. How social networks can be used to disseminate health-based information (key AI methods include sequential decision making + stochastic optimization)



Mark Power, Director of Marketing & Communications, Carnegie Mellon University, School of Computer Science

Meta Information:

  • Event: SXSW
  • Format: Solo
  • Track: Social & Global Impact
  • Level: Intermediate
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