AI · Philanthropy · Policy
Holding "AI for Good" Accountable
AI for good is a well-intentioned space with an accountability problem: claims that go unproven, dependence on a handful of companies, communities with no say over the tools — or the data — deployed on them, and impact tracked in vanity metrics. The Kaleidoscope Project works on exactly that — diligence, community governance, reinvestment, and open education.
OUR FIVE GUIDING PRINCIPLES
01
Evidence & Transparency
02
Big Tech Independence
03
Agency & Ownership
04
Surface Collective Input
05
Invest in Foundations
01
Evidence & Transparency
AI causes real harms and isn't a perfect technology. Honest impact numbers count harms alongside benefits — measured in deployment, over time, and reported openly.
(Coming Soon) See More
02
Big Tech Independence
AI causes real harms and isn't a perfect technology. Honest impact numbers count harms alongside benefits — measured in deployment, over time, and reported openly.
(Coming Soon) See More
03
Community Agency & Ownership
AI causes real harms and isn't a perfect technology. Honest impact numbers count harms alongside benefits — measured in deployment, over time, and reported openly.
(Coming Soon) See More
04
Surface Collective Input
AI causes real harms and isn't a perfect technology. Honest impact numbers count harms alongside benefits — measured in deployment, over time, and reported openly.
(Coming Soon) See More
05
Invest in Foundations
AI causes real harms and isn't a perfect technology. Honest impact numbers count harms alongside benefits — measured in deployment, over time, and reported openly.
(Coming Soon) See More
How we work
Diligence
Evidence-based assessment of AI investments for philanthropies, using the Net Effect framework. Gains and harms measured where tools are actually deployed — before more capital follows. Real funding decisions, not demos.
Diligence
Evidence-based assessment of AI investments for philanthropies, using the Net Effect framework. Gains and harms measured where tools are actually deployed — before more capital follows. Real funding decisions, not demos.
Diligence
Evidence-based assessment of AI investments for philanthropies, using the Net Effect framework. Gains and harms measured where tools are actually deployed — before more capital follows. Real funding decisions, not demos.
Diligence
Evidence-based assessment of AI investments for philanthropies, using the Net Effect framework. Gains and harms measured where tools are actually deployed — before more capital follows. Real funding decisions, not demos.
Our Impact
>$5M
Capital de-risked
>$5M
Capital de-risked
>$5M
Capital de-risked