Select the AI system types that apply, explore why each risk matters, and review practical compliance questions to consider. It is designed for educational and informational purposes only and is not a substitute for legal advice or a complete compliance assessment.
AI Governance Risk Radar
AI Risk Radar is a prototype tool that helps identify potential regulatory and compliance risks across six key domains based on your AI system profile.
Tool Creator
Larissa Meredith-Flister
Larissa Meredith-Flister is a qualified solicitor in England & Wales (2024) and Canada (2021), with an LLM in European Law from the University of Cambridge (First Class – top 10%) and a strong economics background. My work sits at the intersection of UK competition litigation, data privacy, and AI.
I work across the full lifecycle of complex litigation, from early-stage case development and funding strategy to procedural applications, disclosure, and settlement, including in collective proceedings before both the High Court and the Competition Appeal Tribunal. Alongside my litigation practice, I am especially interested in practical AI and legal workflows: how lawyers can use these tools in ways that improve efficiency without compromising accuracy, trust, or professional judgment. I build and think about systems for people who care not just whether an output is fast, but whether it is reliable, verifiable, and safe to use in high-stakes work.
My broader experience spans legal practice, public policy, and academia across five jurisdictions: England, the Netherlands, Canada, the United States, and Brazil. I have advised on complex legal and policy issues in collaboration with national and international stakeholders, and bring strong project and change-management skills (PMP; Prosci Change Practitioner).
I’m a polyglot - I’m fully bilingual in English and Portuguese, fluent in Spanish and French, and have basic knowledge of German and Italian.