My Work at the Responsible AI Institute

As a Research Engineer in AI Policy and Governance at the Responsible AI Institute (RAI), I build the theoretical and technical foundations for practical AI governance mechanisms. Recent projects include developing a risk classification framework for agentic AI, creating a policy-to-control mapping system, and establishing the foundations of an open source AI registry. I am also leading the upcoming RAI Fellowship programme to mentor young graduates looking to break into the AI governance space.

RAI Introduction

Project Spotlight

RAI Open AI Registry (ROAR)
A component of our launch of the TrustX for Finance Working Group was the introduction of the RAI Open AI Registry (ROAR), which allows individuals to contribute to an open source platform that shows how their AI applications map to our TrustX risk framework. This is a part of RAI’s goals to create a collective core of iterative feedback within the AI governance community. Our landing site for the working group shows a sneak peek of the registry.

TrustX Expanded Risk Framework
The expanded framework builds off of ARC by including procurement risk and exposure risk to legacy systems. It maintains the 12-risk dimension core introduced in ARC and tailors the risk classification to each risk surface with additional components, such as a procurement dossier or an agentic threat testing layer.
A version of our working paper can be viewed here.

TrustX Agent Risk Classification (ARC)
ARC is a structured, iterable framework that provides risk classification for 7 agentic AI system types. It is grounded in established frameworks, such as the NIST AI RMF, the EU AI Act, ISO/IEC 42001, OWASP, MITRE ATLAS, and SR 11-7/26-2. Its outputs will then inform mapped control recommendations in RAI’s policy generator tool.
A version of our working paper can be viewed here.

Talks & Panels

Ensuring Growing AI Use Isn’t Increasing Security Risk
London Tech Week 2026 Panel
Discussed the fluid yet nuanced definition of AI risk, the risks of shadow AI, how to manage risk at scale, and future steps towards effective AI governance.

Speaking on the London Tech Week 2026 panel Speaking on the London Tech Week 2026 panel

Why 95% of Enterprise AI Projects Fail: The missing governance step that unlocks ROI
AI Summit London 2026 Partner-Led Meetup
Facilitated a discussion about the real pain points organisations face with AI governance and how the Responsible AI Institute’s TrustX framework and member community provide solutions and avenues for collaboration.
You can view our slide deck here.

Speaking at the AI Summit London

Policy & Insights Newsletter

Every month, I write on AI policy and governance developments with the Practising Lawyer’s Institute. You can read them below.

  • June 2026: Move Fast, Responsibly: Takeaways and Insights from London Tech Week
  • May 2026: Beyond Internal Controls: Expanding AI Risk Assessments into Procurement and Exposure Dimensions
  • April 2026: Analysing the Potential Risks of Procuring Off-the-Shelf Models in Financial Services Use Cases