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Independent Research on
Responsible AI

We study how AI is built, governed and used, and publish what we find: reviews of new research, a tracker of AI laws and standards, and commentary on AI in daily life.

Responsible AI is the practice of building and using AI systems that are fair, transparent, accountable, safe and privacy-preserving across their whole lifecycle. Putting that into practice raises hard questions. Which systems count as AI? Which rules apply to them? Who is accountable when something goes wrong? Our research works through these questions in the open

What we study

AI governance and regulation.

How AI laws and standards such as the EU AI Act, NIST AI RMF, ISO/IEC 42001 and the DPDP Act work in practice.
Open the AI regulations tracker.

AI ethics and accountability.

Reviews of new research on fairness, accountability and the unintended effects of AI.
Read our research reviews.

AI news and policy updates

Why SMBs work with RAIF

Latest commentary

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Work with us

Independent evaluations

We evaluate AI systems for performance, fit, risk and compliance with recognised standards, and set out clear next steps.

Assessments

Find out which of your AI tools are a risk, and which rule applies to each one
We evaluate your AI tools and systems across performance, business fit, risk, maturity, and compliance. Our assessments help identify gaps, understand where your AI stands today, and provide clear next steps for responsible adoption.

RAI Mark

An independent mark showing an AI system has been evaluated against responsible AI principles

Advisory

Support to close the gaps an evaluation finds, from regulation to deployment.

"With great power comes great responsibility – AI is no exception."

~Fei-Fei Li, Co-Director, Stanford Human-Centered AI Institute

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