From policy to practice: Turning Singapore’s AI ambition into reality - The Business Times
<a href="https://news.google.com/rss/articles/CBMiowFBVV95cUxPREoweXd0SXdtRVM4Ym56VkFPQWhpYmJIV25oekJQVmxMa0FxczdWa2V3RFlELTdPU2Q1d2dDcjBzVDQwbDdWN1hVSGdkZEZ6bE5PLXFlcG5yU2lQcmYzVEFhWlBwM21pXy14QnZobTdDeFZucTlGWXhfWExha1BCVHh5T3lqN3BfcFMwWFlTYnRVcjAtQVB5Vk1TamRrZ2Y4dTI0?oc=5" target="_blank">From policy to practice: Turning Singapore’s AI ambition into reality</a> <font color="#6f6f6f">The Business Times</font>
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arXiv:2603.29665v1 Announce Type: new Abstract: Agentic systems for business process automation often require compliance with policies governing conditional updates to the system state. Evaluation of policy adherence in LLM-based agentic workflows is typically performed by comparing the final system state against a predefined ground truth. While this approach detects explicit policy violations, it may overlook a more subtle class of issues in which agents bypass required policy checks, yet reach a correct outcome due to favorable circumstances. We refer to such cases as $\textit{near-misses}$ or $\textit{latent failures}$. In this work, we introduce a novel metric for detecting latent policy failures in agent conversations traces. Building on the ToolGuard framework, which converts natural
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Robust and Consistent Ski Rental with Distributional Advice
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Stochastic Dimension Implicit Functional Projections for Exact Integral Conservation in High-Dimensional PINNs
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