Written Answer · 2026-05-06 · Parliament 15
Ensuring Meaningful Human Accountability for Public-facing Autonomous AI Agents and Pathways to Mandatory Governance in High-risk Sectors
Following the launch of the Model AI Governance Framework for Agentic AI, Workers' Party MP Sylvia Lim asked the Minister for Digital Development and Information in writing how the Ministry intends to ensure "meaningful human accountability" for autonomous AI agents interacting with the public absent explicit disclosure requirements, and what triggers would shift the Framework from a voluntary code to enforceable standards for high-risk sectors. Minister Josephine Teo replied that the Framework sets out guidance for organisations: high-stakes or irreversible actions should not proceed without human review, with checkpoints or action boundaries requiring human approval. It also emphasises transparency towards users — declaring upfront that users are interacting with agents, and the agents' capabilities and data access. She said agentic AI use cases and safeguards are still evolving; together with sector regulators, the Government will monitor how sectors deploy agentic AI, consult international best practices, and adjust the framework as necessary. No concrete triggers for moving from voluntary to mandatory were given. The tension: the opposition pressed for a clear hardening pathway; the Government kept a flexible monitor-and-adjust stance.
Key Points
- • Sylvia Lim pressed on how "meaningful human accountability" applies to autonomous AI agents
- • The Framework requires human review and approval for high-stakes or irreversible actions
- • It stresses telling users upfront they are interacting with agents, plus capabilities and data access
- • The Government gave no concrete triggers for turning the voluntary framework into mandatory standards
Agentic AI governance stays voluntary for now — human review for high-stakes actions and transparency to users — with the Government and sector regulators monitoring deployments and adjusting the framework as needed, without setting triggers for a shift to mandatory standards.
WP's Sylvia Lim argued that "meaningful human accountability" is hard to realise without disclosure requirements, and pressed the Government to spell out the triggers for upgrading the voluntary framework into enforceable standards for high-risk sectors.
Singapore is staying the soft-law course on agentic AI: the model framework sets expectations for human review and transparency, iterated with sector regulators and international practice, while the threshold for mandatory regulation is deliberately left open to preserve policy flexibility.
"They should not allow high stakes or irreversible actions to take place without human review."
Participants (2)
Original Text (English)
SPRS Hansard · Fetched: 2026-06-09
31 Ms Sylvia Lim asked the Minister for Digital Development and Information following the launch of the Model AI Governance Framework for Agentic AI (a) how does the Ministry intend to ensure "meaningful human accountability" for autonomous AI agents that interact with the public in the absence of explicit disclosure requirements; and (b) what triggers would necessitate transitioning the Framework from a voluntary code to enforceable standards for high-risk sectors.
Mrs Josephine Teo : The Model Artificial Intelligence (AI) Governance Framework for Agentic AI (Framework) sets out guidance for organisations to ensure meaningful human accountability in deploying agentic AI. They should not allow high stakes or irreversible actions to take place without human review. Appropriate actions therefore include identifying checkpoints or action boundaries that require human approval. The Framework also emphasises transparency towards users, such as declaring upfront that users are interacting with agents and the agents' capabilities and data access.
Agentic AI use cases and the appropriate safeguards are still evolving. Hence, together with sector regulators, we will continue to monitor how various sectors deploy agentic AI and put the above principles in practice, continue to consult and learn from best practices internationally, to make the adjustments to the framework as necessary.