Coefficient Giving: Global Health and Wellbeing in an Era of Transformative AI
Description:
Support research, policy development, implementation, and field-building to help ensure AI improves human health and wellbeing, with particular attention to risks for and benefits to the global poor. Examples of projects include: research on how global health grantmaking should respond to advances in AI, a technical assistance program to make emerging economies more robust to AI labor market disruption, or efforts to build clinical trial and regulatory infrastructure in low- and middle-income countries (LMICs) before AI-enabled treatments outpace the systems meant to deliver them. We are open to funding a wide range of work, including writing, policy analysis, and research, but we’re especially excited by the prospect of seeding new organizations and supporting direct implementation.
We will fund work along two complementary axes:
* Identifying the preparatory steps global health funders and actors should take (research, policy analysis, empirical mapping), and
* Executing on preparatory steps that are likely high-value (infrastructure, relationships, field-building, piloting).
We think LMICs will likely be especially vulnerable to the downsides and especially poorly positioned to capture the upsides, and that work focused on impacting these countries will likely be more neglected. That said, we are fully open to work focused on high-income countries, provided it responds to the broader orientation above.
Funding: Exploratory grants (<$100k), Standard grants ($100k-$1m), Major grants (>$1m)
Fields :
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Exact sciences
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Humanities and Social sciences
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Life Sciences
Source :
Foreign
