Roundtables & Convenings

Our roundtables and convening events provide a vital platform for candid dialogue and collaborative problem-solving among senior executives, regulators, policymakers, and academic experts on the forefront of AI.

Our Approach

Our sessions are conducted under the Chatham House Rule, encouraging open and honest dialogue while maintaining confidentiality. Participation is invitation-only to ensure a focused and high-value environment for senior decision-makers, regulators, technical experts, and thought leaders.

Each session is structured to explore specific emerging challenges in the development and deployment of responsible AI—ranging from algorithmic transparency and model governance to cross-border regulatory alignment and sector-specific applications.

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Past Themes & Future Topics

We provide confidential, high-level briefings for boards and senior leadership teams, tailored to your organization's specific AI context, strategic priorities, and regulatory concerns.

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Our expert-led sessions are designed to address high-priority challenges and opportunities at the intersection of AI, regulation, and risk management. Past and planned roundtable themes include:

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    Navigating the AI Executive Order & NIST Risk Management Framework

    Exploring compliance strategies and implementation roadmaps for U.S. federal AI directives.

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    AI Governance Models in Highly Regulated Sectors

    Comparative analysis of internal AI governance structures across finance, healthcare, and critical infrastructure.

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    Operationalizing Responsible AI: From Principles to Practice

    Translating ethical guidelines into actionable controls and measurable outcomes.

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    Bias, Fairness, and Explainability in Automated Decision Systems

    Addressing algorithmic bias and ensuring transparency in high-impact use cases such as lending, hiring, and insurance.

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    Cross-Border Regulatory Alignment and Global AI Standards

    Understanding the implications of the EU AI Act, Canada's AIDA, and emerging frameworks in Asia-Pacific.

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    AI in Financial Services: Managing Model Risk and Regulatory Expectations

    Deep dives into model validation, monitoring, and supervisory engagement.