Many AI pilots stall not because the tech falls short but because organisations lack a practical way to link standards, assurance and board decisions. In partnership with TÜV SÜD, the forum brought together leaders from standards bodies, regulators and industry to show how standards can become a real advantage when scaling AI responsibly.
September 29, 2025
14:00 – 17:00 SGT
TÜV SÜD PSB Singapore
Choy Sauw Kook
Director-General for Quality & Excellence
Enterprise Singapore
Choy Sauw Kook
Director-General for Quality & Excellence
Enterprise Singapore
DG Choy highlighted Singapore’s national efforts to build a trusted and structured AI ecosystem. Through coordinated standards, conformance, and accreditation frameworks, the country enables responsible and scalable AI adoption.
DG Choy highlighted Singapore’s national efforts to build a trusted and structured AI ecosystem. Through coordinated standards, conformance, and accreditation frameworks, the country enables responsible and scalable AI adoption.
Standards underpin safety, accountability, and reliability in all domestic AI systems.
ISO/IEC 42001 and pilot accreditation operationalise AI governance frameworks.
Consolidates 53 use cases across 11 sectors for practical implementation guidance.
Cross-sector collaboration drives national AI trust and global competitiveness.
Standards underpin safety, accountability, and reliability in all domestic AI systems.
ISO/IEC 42001 and pilot accreditation operationalise AI governance frameworks.
Consolidates 53 use cases across 11 sectors for practical implementation guidance.
Cross-sector collaboration drives national AI trust and global competitiveness.
Wael William Diab
Chairman
ISO/IEC JTC 1/SC 42 Artificial Intelligence
Wael William Diab
Chairman
ISO/IEC JTC 1/SC 42 Artificial Intelligence
AI standards are rapidly evolving into a global, collaborative effort. Wael shared how ISO and IEC are aligning countries, industries and regulators to create practical, trusted frameworks that help organisations adopt AI responsibly and at scale.
AI standards are accelerating, with 75 countries shaping guidance that reflects diverse needs and real world use.
Standards now consider context, ethics, trust and how AI interacts with people, not just technical outcomes.
Adoption grows when industries reference SC 42 standards, enabling consistent and scalable use across sectors.
New AI management and conformity schemes provide a structured, credible path for responsible and trustworthy deployment.
AI standards are rapidly evolving into a global, collaborative effort. Wael shared how ISO and IEC are aligning countries, industries and regulators to create practical, trusted frameworks that help organisations adopt AI responsibly and at scale.
AI standards are accelerating, with 75 countries shaping guidance that reflects diverse needs and real world use.
Standards now consider context, ethics, trust and how AI interacts with people, not just technical outcomes.
Adoption grows when industries reference SC 42 standards, enabling consistent and scalable use across sectors.
New AI management and conformity schemes provide a structured, credible path for responsible and trustworthy deployment.
The discussion centred on how standards can move from theory into daily business value. The panel agreed that adopting AI standards is not about paperwork. It is about giving leaders a shared foundation to make confident decisions, align stakeholders and scale responsibly.
Standards give organisations a common language to evaluate AI, connect decisions to business outcomes and show responsible practice to boards, regulators and partners.
Adoption is a journey. Organisations gain more value when they begin with the elements most relevant to their current AI use, then expand as systems mature.
Progress is faster when standards are tested with real use cases and informed by both regulators and practitioners. This makes guidance clearer, more practical and easier to adopt.
The discussion centred on how standards can move from theory into daily business value. The panel agreed that adopting AI standards is not about paperwork. It is about giving leaders a shared foundation to make confident decisions, align stakeholders and scale responsibly.
Standards give organisations a common language to evaluate AI, connect decisions to business outcomes and show responsible practice to boards, regulators and partners.
Adoption is a journey. Organisations gain more value when they begin with the elements most relevant to their current AI use, then expand as systems mature.
Progress is faster when standards are tested with real use cases and informed by both regulators and practitioners. This makes guidance clearer, more practical and easier to adopt.
The discussion centred on how standards can move from theory into business value. The panel agreed that adopting AI standards is not about paperwork. It is about giving leaders a shared foundation to make confident decisions, align stakeholders and scale responsibly.
Pilots prove potential, but value only arrives when AI integrates with existing systems, workflows and data. Thinking about scale from day one avoids rework later.
Teams need clarity on responsible use, data handling and everyday guardrails. Done well, governance speeds up adoption rather than slowing it.
When IT, business, and risk functions shape AI together, projects move with fewer blockers and more confidence. Governance becomes an enabler, not a gatekeeper.
The discussion centred on how standards can move from theory into business value. The panel agreed that adopting AI standards is not about paperwork. It is about giving leaders a shared foundation to make confident decisions, align stakeholders and scale responsibly.
Pilots prove potential, but value only arrives when AI integrates with existing systems, workflows and data. Thinking about scale from day one avoids rework later.
Teams need clarity on responsible use, data handling and everyday guardrails. Done well, governance speeds up adoption rather than slowing it.
When IT, business, and risk functions shape AI together, projects move with fewer blockers and more confidence. Governance becomes an enabler, not a gatekeeper.
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