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cs.AI2026

Towards Trustworthy Physical Intelligence: From Theory to Practice Across Life Cycle

Wang Yang, Yang Wang, Hongxuan Liu +45

Physical intelligence refers to intelligence systems that understand, reason about, and act in accordance with the physical world and its underlying laws, dynamics, and constraints…

cs.AI2026

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5

Dongrui Liu, Yi Yu, Jie Zhang +18

To understand and identify the unprecedented risks posed by rapidly advancing artificial intelligence (AI) models, Frontier AI Risk Management Framework in Practice presents a comp…

cs.AI2025

Dive into the Agent Matrix: A Realistic Evaluation of Self-Replication Risk in LLM Agents

Boxuan Zhang, Yi Yu, Jiaxuan Guo +1

The prevalent deployment of Large Language Model agents such as OpenClaw unlocks potential in real-world applications, while amplifying safety concerns. Among these concerns, the s…

cs.AI2025

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45 Law

Shanghai AI Lab, :, Yicheng Bao +115

We introduce SafeWork-R1, a cutting-edge multimodal reasoning model that demonstrates the coevolution of capabilities and safety. It is developed by our proposed SafeLadder framewo…

cs.AI2025

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report

Shanghai AI Lab, :, Xiaoyang Chen +35

To understand and identify the unprecedented risks posed by rapidly advancing artificial intelligence (AI) models, this report presents a comprehensive assessment of their frontier…