This resource helps nonprofits and social enterprises learn how to apply artificial intelligence (AI) and machine learning (ML) to social, humanitarian, and environmental challenges. This guide will help an organization understand the types of problems that can be solved with ML, identify and prepare data sources, and review guidelines on how to develop and utilize ML responsibly.
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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.
Resources from Harvard University, DrivenData and +6