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cs.AI2026

Physical AI Governance: From Theory to Practice Across Life Cycle

Wang Yang, Shaobo Wang, Hongxuan Liu +8

With the emergence of Physical AI, artificial intelligence is extending beyond screen-based applications to embodied systems that perceive, interact with, and act in the physical w…

cs.AI2026

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.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

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…