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Capacity Enhancement

Joint design and delivery of capacity-building programs, workshops, and training modules for the target Policymakers, regulators, and civil society, with the aim of strengthening AI governance capabilities globally.

Lists of Program

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AI Visionaries ProgramStrategy & Governance Master Class

An executive leadership initiative by ETDA’s AI Governance Clinic (AIGC) to empower policymakers in the Asia-Pacific.

  • Objective: To master the formulation of national AI strategies that balance rapid innovation with robust risk management.

  • Target Audience: Senior policymakers and digital transformation advisors.

  • Curriculum Highlights: * Global Ethics: Aligning with the UNESCO Recommendation on the Ethics of AI.

    • Readiness Assessment: Utilizing the UNESCO RAM framework.

    • Strategic Action: Developing preliminary national AI blueprints and exploring AI sovereignty.

  • Outcome: Participants emerge with actionable policy tools to implement responsible AI governance within their national contexts.

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A specialized program for healthcare leaders to navigate the intersection of medical innovation and ethical AI governance.

  • Objective: To equip healthcare executives with strategic toolkits for leading AI-driven digital health transformations.

  • Target Audience: Medical professionals, researchers, and public/private healthcare executives.

  • Curriculum Highlights: * Strategic Toolkits: Mastery of AI Use Case Canvas and Risk Assessment.

    • Compliance: Navigating global frameworks (NIST, EU AI Act) and data privacy (PDPA).

    • Global Insights: A 3-day immersive study visit to Singapore's leading healthcare hubs.

  • Outcome: Ability to lead AI initiatives that enhance patient outcomes while maintaining the highest ethical standards.

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Train-the-Trainers

Building a sustainable network of "Master Trainers" to scale AI governance expertise across the public sector.

  • Objective: To develop internal consultants capable of implementing AI Toolkits and fostering self-regulation nationwide.

  • Target Audience: Academic leaders, public sector facilitators, and organizational designers.

  • Key Modules: * Value Creation: Prioritizing AI initiatives through Impact x Feasibility matrices.

    • Governance Structure: Establishing AI Governance Councils and linking to Data Governance.

    • Impact Assessment: Analyzing societal effects using the ALTAI framework.

  • Outcome: A certified cohort of trainers equipped to ensure AI adoption is transparent, legal, and human-centric.

Preparing future Chief AI Officers (CAIO) to drive organizational transformation through responsible AI integration.

  • Objective: To translate AI potential into strategic business value while upholding trust and transparency.

  • Target Audience: Middle management, entrepreneurs, and operational leaders.

  • Core Pillars:

    • Strategy & Transformation: Assessing readiness, AI procurement (Build vs. Buy), and job redesign.

    • Enterprise Governance: Aligning AI lifecycles with global standards (ISO/IEC 23894) and drafting internal policies.

  • Outcome: Leaders gain the dual capability of driving technical innovation and managing complex ethical risks.

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