Overview
This resource is a set of methods, best practices, and examples for designing with artificial intelligence (AI).
These recommendations are based on data and insights from over a hundred Googlers, industry experts, and academic research.
Do you have feedback on this resource?
Thank you for your feedback as we strive to curate and publish resources to help social impact organizations succeed with data.
Explore More
Related Guides & Resources
Using your Data Responsibly and Ethically
Data is a powerful resource that many organizations have but it needs to be managed and stewarded with care. We must ensure that our data practices are in alignment with our overall organizational values, and that we do not increase the vulnerability of the people that we serve.
Overview 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.
Overview Artificial Intelligence (AI) and Machine learning (ML) have the transformative potential to solve some of the toughest global challenges our society faces, including refugee crises, poverty, and infectious disease outbreaks. As AI grows in reach, complexity, and ubiquity, those working in the nonprofit sector have a responsibility to the…