Technology
Building a Solidarity Ecosystem for AI
How cooperatives, public institutions, and social movements can come together to intentionally build a practical, community-owned alternative to extractive AI systems.
How cooperatives, public institutions, and social movements can come together to intentionally build a practical, community-owned alternative to extractive AI systems.
A values-driven, accountable approach to data isn't optional—it's essential.
Transforming civic data in the United States is essential to improve our collective health and well-being.
An excerpt from Technology for Good on using technology to create innovative and cost-effective ways to deliver programs
High-quality impact data and assessments are vital for allocating capital effectively, yet they are resource-intensive for investors and social innovators. Can generative AI speed up and strengthen impact-performance assessment of venture investments?
Under the theme “Reimagining the Digital Future: Harnessing AI for Social Good,” a world-class lineup of speakers examined how AI technologies can accelerate progress in education, climate action, business, economics, and beyond—while addressing the risks they pose.
Data-driven decision-making has become central to education in India. While data provides invaluable insights, using it to shape policy is not without its risks.
In a difficult time when many nonprofits will be forced to close, nonprofit leaders and funders must act to preserve data and other intangible assets.
How communities across the globe are using technology to break the oil and gas monopoly on information
Why data is one of the biggest challenges to leveraging AI for social good—and how the social sector can address it