MIT Solve and the Patrick J. McGovern Foundation co-designed this virtual short course to help social impact entrepreneurs everywhere leverage artificial intelligence–including machine learning and other data science methods–to broaden and deepen their social impact. In the course, MIT and external AI experts and two past Solver teams discuss the opportunities and limitations of using AI for social good; how to identify when to use this technology in your work; and key considerations for building and implementing your own AI strategy.
Learn how to incorporate AI into your social impact strategy with these additional resources.
- Download slides from the lecture here (PDF)
- XPrize Data Collaborative
A powerful platform for collaboration and solution development--combining data, machine learning, artificial intelligence, and bleeding edge insights with a community of innovators.
- XPrize Democratizing Access to Data (PDF)
- MITx Course: Business and Impact Planning for Social Enterprises
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Trustee, Patrick J. McGovern Foundation
Julia Kumari Drapkin
CEO, Founder, Team Lead, ISeeChange
Founder and CEO, Blue Sky Analytics
Director, Results Measurement and Lead, Health Community, MIT Solve
James W. Weis
Research Affiliate and Instructor, MIT