Features New and in-depth explorations of solutions to social, environmental, or organizational problems

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The Case for Causal AI

By Sema K. Sgaier, Vincent Huang & Grace Charles 3

Using artificial intelligence to predict behavior can lead to devastating policy mistakes. Health and development programs must learn to apply causal models that better explain why people behave the way they do to help identify the most effective levers for change.

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Drowning in Data

By Alana Conner Snibbe 9

Funders are calling for more program evaluation, but nonprofits are often collecting dubious data, at great cost to themselves and ultimately to the people they serve.