Academia

Bridging AI Theory and Practice in the Context of Regulated Industries

The AI Reg Risk Think Tank actively collaborates with universities and academic institutions to advance the understanding and responsible development of artificial intelligence, particularly within the unique constraints and demands of regulated sectors. We aim to connect cutting-edge research and education with the practical challenges and governance requirements faced by organizations deploying AI.

Access to Real-World Frameworks

Our AI RegRisk Readiness Program, including its detailed Body of Knowledge, provides a comprehensive framework illustrating how organizations can systematically manage AI-related risks. This BoK, with its defined pillars (Agile Governance, Risk-Informed Systems, Responsible AI, Risk-Based Strategy, and Risk Escalation/Disclosure), can serve as a valuable resource for curriculum development and case studies.

Industry Insights & Expertise

We offer access to insights from industry practitioners and subject matter experts on current AI governance, risk management, and regulatory compliance challenges.

Collaborative Research Opportunities

We seek partnerships with academic researchers to explore emerging AI topics, contribute to joint publications, and develop innovative solutions for responsible AI.

Guest Lectures & Seminars

Our experts are available to contribute to academic courses and seminars, sharing practical perspectives on AI in regulated environments.

Key Benefits

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    Enrich Curricula

    Integrate practical, standards-based AI risk management concepts.

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    Prepare Future Leaders

    Equip students to navigate AI's ethical and legal implications.

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    Foster Applied Research

    Collaborate on research addressing tangible industry challenges.

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    Connect Students with Industry

    Expose students to current practices and career expectations.

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Advancing AI Education and Research Through Collaboration