AI adoption is accelerating across Asia, and so is regulatory scrutiny. Organisations scaling AI must navigate the tension between global standards and diverse local privacy laws. When governance and regulation fall out of sync, risk increases; when they align, trust grows.
In this webinar, LRQA explores how organisations can align ISO/IEC 42001, ISO/IEC 27001 and ISO/IEC 27701 with regional regulatory requirements without slowing innovation. Join us to discover practical approaches to responsible AI governance that strengthen accountability, build trust and support sustainable AI adoption.
Agenda
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The evolving AI governance landscape in Asia
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The role of global standards in responsible AI (ISO/IEC 42001, ISO/IEC 27001, ISO/IEC 27701)
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Navigating local regulatory requirements and challenges
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Practical approaches to aligning global frameworks with local compliance
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Live Q&A
What You’ll Learn
Participants will gain practical insights into applying a risk-based approach to AI governance, integrating privacy and security considerations into AI deployment, and strengthening trust and accountability while enabling innovation.
Speaker
Danny Tan, MBCI
Cyber Security Consultant and Auditor
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30+ years in naval operations, cybersecurity, and business continuity across Asia-Pacific and the Americas.
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Accredited ISO & AI management systems auditor with expertise in digital risk, supply chain security, and multi-tier cloud security.
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Experienced educator and consultant in counter-terrorism, business continuity, and cybersecurity governance.