Artificial intelligence offers a promising new approach to bridging the data divide: the growing disparity between data’s commercial use and its limited application in the social, education, and environmental sectors. By 2030, we are expected to generate 10 times more data than in 2020, yet the infrastructure needed to turn that data into insight for the social sector is weakening, not growing. At its best, AI can help nonprofits and school districts work smarter and reach farther, but only when paired with the proper infrastructure, funding, and ethical frameworks.
Drawing on a pulse survey of 45 nonprofits, practitioner insights, use cases, and the latest research, this white paper from Project Evident, with support from Splunk, offers a roadmap: what to do now, where to invest, and how to move forward without leaving anyone behind. Inside:
- Insights from the field on how nonprofits are adapting carefully, asking hard ethical questions, and looking for practical support
- The top five myths about AI in the social sector, debunked
- Use cases showing what responsible AI adoption looks like in practice
- Recommendations for nonprofit leaders, funders, policymakers, and tech partners