Policy desk

Automakers and ADAS suppliers must audit all marketing materials, manuals, and launch statements to remove exaggerated claims or wording that downplays driver responsibility

Companies deploying AI agents in Singapore and the region can use the reference architecture to design inter-agent authentication and trust transfer, improving interoperability.

AI companies must establish model control and monitoring mechanisms to ensure technical safety

Companies must establish robust AI safety control systems with dedicated teams

Research institutions need to increase AI R&D investment, particularly in foundation models and intelligent scientist systems

Operators can formally apply for commercial autonomous vehicle operations, moving beyond pilot programs

Obligations: Enterprises must invest in building an organizational ontology to provide context for AI agents. • Opportunities: A well-defined ontology enables more effective AI-driven automation and decision-making. • Deadlines: While not explicitly stated, the guide implies a need for immediate action to catch up with the pace of AI-driven network attacks.

E-commerce and livestream platforms must adopt AI technology to strengthen compliance and prevent issues like counterfeit products and price fraud

Data center development approval processes will slow down, requiring companies to adjust project planning and timelines

Obligations: Content creators must use the self-declaration mechanism to mark content sources. Companies deploying AI-generated content must ensure traceability. Users must adhere to rational and friendly expression guidelines, and avoid online harassment.

Obligations: Universities must adopt and implement the eight principles to redefine educational goals and assessment methods. Teachers are required to establish clear AI policies for each course and be transparent about their own AI usage.