Person
“My research focuses on ensuring machine learning systems are understood by and aligned with humans.”In their own words: jsteinhardt.stat.berkeley.edu
Alignment researchInterpretabilityAcademic

Associate Professor of Statistics at UC Berkeley researching how to make ML systems understood by and aligned with humans; also Founder & CEO of Transluce, a non-profit lab building tools for understanding frontier AI systems.

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Received $3.2M from 4 funders

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Checked 25 Oct 2026

Money flows

Where their money came from and where it went. Pick years and what to show; hover a box or ribbon for details, click one to focus it, click the background to see everything.

All grants

5 grants totalling $3.2M, newest first.

2026 1 grant · $130k
DateFunderAmountPurpose
Feb 2026Coefficient Giving$130kCompute Funds for AI Safety Research source
2025 1 grant · $2.6M
DateFunderAmountPurpose
May 2025Coefficient Giving$2.6MCompute Resources for AI Safety Research (Jacob Steinhardt) source
2024 1 grant · $290k
DateFunderAmountPurpose
4 Mar 2024AI2050~$290kAI2050 (Early Career Fellow, 2023 cohort): AI2050 Early Career Fellow, 2023 cohort; UC Berkeley. Up to $300,000 over two years; exact amount undisclosed. — AI2050 (Early Career Fellow, 2023 cohort) source
2022 1 grant · $100k
DateFunderAmountPurpose
Nov 2022Navigating Transformative AI$100kGrant "to provide operational support to Steinhardt’s lab at the University of California Berkeley, which specializes in research on how to align machine learning systems." The webpage https://jsteinhardt.stat.berkeley.edu/ is linked.. From Vipul Naik's donations database (via Op source
2015 1 grant · $88k
DateFunderAmountPurpose
2015Future of Life Institute$88kSummer Program in Applied Rationality and Cognition — Stanford University — 2015 AI Safety Grants source