Expert perspectives on regulatory trends, best practices, and the future of responsible AI
Most AI governance frameworks fail because they're built for machines, not humans. The most comprehensive policy document is worthless if the people responsible for implementing it can't understand, remember, or consistently apply its requirements.
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The regulatory landscape for AI in Southeast Asia is evolving rapidly. From Singapore's Model AI Governance Framework to Malaysia's AI roadmap, organizations across the region need to prepare for increasingly sophisticated compliance requirements.
Read Full ArticleThe AI landscape is evolving rapidly. Here are the key strategic trends that technology and business leaders should be tracking in 2025.
The EU AI Act is now in force, and its extraterritorial reach means many Southeast Asian companies will need to comply. Here's what you need to know about the timeline, requirements, and practical steps to prepare.
Most AI ethics boards fail to create meaningful impact. Based on experience, here are the five design principles that separate effective boards from ceremonial ones.
Regulatory audits for AI systems are becoming more common. This practical checklist helps compliance teams prepare for AI audits and ensure they have the documentation and processes auditors expect to see.
As organizations increasingly rely on third-party AI services, managing vendor risk becomes critical. Here's a comprehensive guide to AI vendor risk management.