ML4Good is a non-profit that provides 8-day residential bootcamps to upskill early-career professionals in AI safety and machine learning. Programs are offered at no cost to participants (food, accommodation, and tuition covered), with cohorts of approximately 20 people selected from competitive applicant pools. ML4Good offers a Technical track focused on transformer architecture, interpretability, RLHF, and evaluations, as well as a Governance and Strategy track covering policy, regulation, and AI governance. Alumni have gone on to roles at organizations including the UK AI Safety Institute, the European Commission, MATS, and the Centre for Human-Compatible AI.
Funding Details
- Annual Budget
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- Monthly Burn Rate
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $104,803
- Fiscal Sponsor
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Theory of Change
ML4Good's theory of change centers on talent as the key bottleneck for AI safety progress. The organization believes that intensive, in-person, residential training is more cost-effective at producing committed AI safety contributors than other engagement formats such as online courses or hackathons. By selecting highly motivated participants from technical and governance backgrounds, running rigorous 8-day bootcamps, and fostering ongoing regional peer networks, ML4Good aims to accelerate career transitions into full-time AI safety roles. The causal chain is: selective in-person training of motivated individuals → career transitions to AI safety organizations → increased talent and capacity at safety-focused institutions → better AI safety outcomes and reduced catastrophic risk.
Grants Received
from Open Philanthropy
from Open Philanthropy
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Details
- Last Updated
- Apr 3, 2026, 1:16 AM UTC
- Created
- Mar 19, 2026, 10:32 PM UTC