Technology
Generative AI Is All About the Money
What the social innovation community needs to understand about Silicon Valley’s current hype cycle.
What the social innovation community needs to understand about Silicon Valley’s current hype cycle.
How prioritizing technological expertise on the board level can help nonprofits and social service organizations make the most of their resources and improve outcomes for the communities they support.
The pursuit of better outcomes for underserved communities, rather than the novelty of emerging technologies, should drive innovation in health care.
A collection of standout pieces published online about problem-solving, telling better stories, advancing reparations, and the growing impact of AI in the social sector.
“Explainable AI” can bridge the gap between AI outputs and human expertise, but a balance needs to be struck between explainability and performance.
Big Tech companies are lobbying hard to enshrine new forms of inequality into law.
Rapid advances in AI threaten to eliminate many jobs, but there are still two distinct paths this AI revolution could take.
The much-hyped AI tools of the future are being built by a globally dispersed army of data workers.
Instead of preparing for the distant future, philanthropy needs to work to prepare for the here and now.
The most powerful tool that workers and communities around the world have to fight exploitative new technologies.