Singapore: Privacy

Singapore's Personal Data Protection Commission has issued new guidelines clarifying how companies must handle personal data when developing and deploying generative AI systems. These guidelines address critical compliance questions around publicly available data, consent requirements, anonymization practices, and ongoing obligations for access and correction requests throughout the AI lifecycle.

In-house legal and compliance teams across Asia Pacific face mounting pressure as regulation evolves at different speeds and in different directions across jurisdictions. From India's new data protection law to fragmented AI governance frameworks, legal leaders must decide what to prioritize with limited budgets while managing everything from data residency requirements to enforcement-minded regulators demanding proof of real controls.

As businesses in Singapore increasingly adopt AI and generative AI tools, contracting decisions now require a deeper understanding of how these systems are built, used and governed. This article examines how customers can approach pre-contractual diligence when evaluating the use or licensing of a supplier's AI technology in a business-to-business context, exploring key considerations around data, intellectual property, and regulatory compliance.

In-house legal and compliance teams across Asia Pacific face mounting pressure as regulation evolves at different speeds and in different directions across jurisdictions. From India's new data protection law to fragmented AI governance frameworks, legal leaders must decide what to prioritize with limited budgets while managing everything from data residency requirements to enforcement-minded regulators demanding proof of real controls.

In September 2025, the Ministry of Law in Singapore issued a draft Guide on Using Generative AI in the Legal Sector to create...

Singapore has positioned itself as a leading jurisdiction for digital transformation and artificial intelligence ("AI")...