Decision Before Action: Rethinking Agentic AI for Risk-Aware Physical Systems

20260 citationsJournal Articlegold Open Access

Authors

Zhengwei Li · Georgia Institute of Technology

Abstract

Recent advances in agentic AI have significantly expanded the execution capabilities of autonomous systems operating in the physical world. However, much of this progress implicitly assumes that stronger execution capabilities naturally translate into

Topics & Keywords

Reinforcement Learning in Robotics Adversarial Robustness in Machine Learning Ethics and Social Impacts of AI

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

DOI: 10.36227/techrxiv.176801010.07599782/v1

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