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Why data is one of the biggest challenges to leveraging AI for social good—and how the social sector can address it
Why data is one of the biggest challenges to leveraging AI for social good—and how the social sector can address it
How do nonprofits and their donors define and measure impact? Kimberly Pfeifer of Oxfam America, Stephanie Gillis of Raikes Foundation, and Fred Kaynor of DAFgiving360 join SSIR editor Barbara Wheeler-Bride to share their perspectives on social impact and tracking philanthropic success. A sponsored podcast developed with the support of DAFgiving360
Own your work and your success. Speak plainly about the stakes. Bring people in.
Mission-driven organizations should look beyond the tech sector and build AI partnerships with academia, CBOs, artists, and foundations.
They own a growing share of wealth, but the sector isn’t yet set up to meet their needs.
Our understanding of community can help funders and evaluators identify, understand, and strengthen the communities they work with.
Too many people believe social value is objective, fixed, and stable, when in fact it is subjective, malleable, and variable.
These leaders’ assets go beyond experiences of oppression or marginalization to include the connection, meaning, and joy they can draw on from their respective cultures and communities.
A few nonprofits are using social media to fundamentally change the way they work and increase their social impact.
A clear definition of equity would seem paramount to galvanizing philanthropy into action around this increasingly used term—but the field is only beginning to explore what it really means.