“My research looks inside neural networks to understand how they work, and asks whether that understanding can help us evaluate, control, and govern AI systems.”In their own words: fazlbarez.com
Principal Investigator at the University of Oxford leading the Technical Safety & Governance Lab; works on interpretability and AI governance.
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Received $85k from 2 funders
’24
’25
’26
Checked 25 Oct 2026
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3 grants totalling $85k, newest first.
2026 1 grant · $55k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| 12 May 2026 | Foresight Institute: Funding | ~$55k | An Automated Interpretability-Driven System for Model Auditing and Control We will build an agentic interpretability system in which experts converse with an agent to check what internal computations led to a model’s ans source |