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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
AI Visionaries ProgramStrategy & Governance Master Class
An executive leadership initiative by ETDA’s AI Governance Clinic (AIGC) to empower policymakers in the Asia-Pacific.
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Objective: To master the formulation of national AI strategies that balance rapid innovation with robust risk management.
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Target Audience: Senior policymakers and digital transformation advisors.
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Curriculum Highlights: * Global Ethics: Aligning with the UNESCO Recommendation on the Ethics of AI.
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Readiness Assessment: Utilizing the UNESCO RAM framework.
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Strategic Action: Developing preliminary national AI blueprints and exploring AI sovereignty.
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Outcome: Participants emerge with actionable policy tools to implement responsible AI governance within their national contexts.
A specialized program for healthcare leaders to navigate the intersection of medical innovation and ethical AI governance.
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Objective: To equip healthcare executives with strategic toolkits for leading AI-driven digital health transformations.
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Target Audience: Medical professionals, researchers, and public/private healthcare executives.
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Curriculum Highlights: * Strategic Toolkits: Mastery of AI Use Case Canvas and Risk Assessment.
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Compliance: Navigating global frameworks (NIST, EU AI Act) and data privacy (PDPA).
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Global Insights: A 3-day immersive study visit to Singapore's leading healthcare hubs.
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Outcome: Ability to lead AI initiatives that enhance patient outcomes while maintaining the highest ethical standards.
Train-the-Trainers
Building a sustainable network of "Master Trainers" to scale AI governance expertise across the public sector.
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Objective: To develop internal consultants capable of implementing AI Toolkits and fostering self-regulation nationwide.
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Target Audience: Academic leaders, public sector facilitators, and organizational designers.
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Key Modules: * Value Creation: Prioritizing AI initiatives through Impact x Feasibility matrices.
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Governance Structure: Establishing AI Governance Councils and linking to Data Governance.
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Impact Assessment: Analyzing societal effects using the ALTAI framework.
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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.
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Objective: To translate AI potential into strategic business value while upholding trust and transparency.
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Target Audience: Middle management, entrepreneurs, and operational leaders.
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Core Pillars:
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Strategy & Transformation: Assessing readiness, AI procurement (Build vs. Buy), and job redesign.
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Enterprise Governance: Aligning AI lifecycles with global standards (ISO/IEC 23894) and drafting internal policies.
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Outcome: Leaders gain the dual capability of driving technical innovation and managing complex ethical risks.
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