Coefficient Giving (formerly Open Philanthropy) is a major philanthropic grantmaker that directs funding toward high-impact causes including AI safety, global health, biosecurity, and farm animal welfare. It is the primary grantmaking vehicle for Dustin Moskovitz and Cari Tuna's philanthropy through Good Ventures.
Coefficient Giving (formerly Open Philanthropy) is a major philanthropic grantmaker that directs funding toward high-impact causes including AI safety, global health, biosecurity, and farm animal welfare. It is the primary grantmaking vehicle for Dustin Moskovitz and Cari Tuna's philanthropy through Good Ventures.
People
Updated 05/18/26Alignment Researcher
Grants Associate
GCR Partnerships
Farm Animal Welfare Managing Director
Pipeline Development Recruiter
Head of People
Funding Details
Updated 05/18/26- Annual Budget
- $1,000,000,000
- Current Runway
- -
- Funding Goal
- -
- Funding Raised to Date
- $4,000,000,000
Org Details
Updated 05/18/26Coefficient Giving is one of the largest and most influential philanthropic organizations focused on high-impact giving, with particular significance in the AI safety and existential risk space. The organization was founded in 2011 as GiveWell Labs, a collaboration between Cari Tuna and Dustin Moskovitz (co-founder of Facebook and Good Ventures) and the charity evaluator GiveWell. It became the Open Philanthropy Project in 2014, achieved independence from GiveWell in 2017, shortened its name to Open Philanthropy in 2019, and rebranded to Coefficient Giving in November 2025. The November 2025 rebranding reflected a strategic evolution: the organization formally expanded from advising its founding partner Good Ventures to building a broader multi-donor platform, with a dedicated partnerships team of 10 people seeking donors interested in giving over $250,000 annually. As of early 2026, non-Good Ventures funders accounted for about 15% of directed funds, with that share growing rapidly. Coefficient Giving operates 13 thematic funds, including: Navigating Transformative AI, Global Health and Wellbeing Opportunities, Biosecurity and Pandemic Preparedness, Farm Animal Welfare, Lead Exposure Action Fund, Abundance and Growth, Air Quality, Science and Global Health R&D, Effective Giving and Careers, Forecasting, Global Aid Policy, Global Catastrophic Risks Opportunities, and Global Growth. The Navigating Transformative AI fund has made over 480 grants and committed approximately $50 million to technical AI safety research in 2024 alone. The organization employs a cause-selection methodology based on three criteria: importance (scale of individuals affected), neglectedness (gap in existing funding), and tractability (potential for philanthropic leverage). It practices worldview diversification by allocating across multiple moral frameworks under deep uncertainty, and employs hits-based giving by accepting high failure rates in exchange for outsized potential impact. As of early 2026, Coefficient Giving has more than 150 staff. The CEO is Alexander Berger. Cari Tuna serves as Chair. Emily Oehlsen is President. Other senior leaders include Luke Muehlhauser (Managing Director, AI Governance and Policy), Claire Zabel (Managing Director, Short Timelines Special Projects), and Otis Reid (Managing Director for Global Health and Wellbeing). The organization is headquartered in San Francisco. Notable historical achievements include supporting the R21 malaria vaccine clinical trials, improving the lives of over 3 billion farm animals through corporate welfare campaigns, and being among the earliest institutional funders of AI safety beginning in 2015, seven years before ChatGPT's public release.
Theory of Change
Updated 05/18/26Coefficient Giving believes the most important philanthropic decision is cause selection, and that the highest-impact opportunities lie in neglected areas with significant funding gaps. For AI safety specifically, the organization argues that catastrophic AI risk mitigation is a public good that market incentives systematically underinvest in, compounded by competitive dynamics among AI developers and slow government and civil society responses to rapid AI progress. By funding technical AI safety research (alignment, robustness, interpretability), AI governance and policy frameworks, and field capacity building, Coefficient Giving aims to reduce the probability of catastrophic outcomes from advanced AI systems. The hits-based giving model expects a small number of funded efforts to produce disproportionate impact, so the organization funds a broad portfolio and accepts high failure rates. Worldview diversification ensures that even under deep uncertainty about which moral frameworks or interventions are optimal, some portfolio of funded work will prove highly impactful.
Grants Received– no grants recorded
Updated 05/18/26Projects– no linked projects
Updated 05/18/26Discussion
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