{"id":145609,"date":"2026-07-01T08:58:21","date_gmt":"2026-07-01T00:58:21","guid":{"rendered":"https:\/\/www.curtin.edu.au\/research\/?post_type=hdr-r-projects&p=145609"},"modified":"2026-07-01T08:58:21","modified_gmt":"2026-07-01T00:58:21","slug":"trustworthy-agentic-ai-for-resilient-australian-critical-infrastructure","status":"publish","type":"hdr-r-projects","link":"https:\/\/www.curtin.edu.au\/research\/hdr-r-projects\/trustworthy-agentic-ai-for-resilient-australian-critical-infrastructure\/","title":{"rendered":"Trustworthy Agentic AI for Resilient Australian Critical Infrastructure"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Australian critical infrastructure, including energy systems, transport networks, communications, healthcare, and emergency services, is becoming increasingly complex and interconnected. Recent advances in Agentic AI and Large Language Models (LLMs) offer new opportunities to develop intelligent systems that can reason, coordinate, and support decision-making in dynamic environments. However, existing AI systems often lack reliability, transparency, and the ability to operate safely in high-stakes settings. This project will investigate trustworthy Agentic AI systems capable of supporting resilient critical infrastructure operations. The research will combine Large Language Models, multi-agent systems, reinforcement learning, and human-AI collaboration to enable autonomous agents that can interpret information, coordinate actions, explain decisions, and adapt to changing conditions. Potential application domains include cyber defence, emergency response, infrastructure monitoring, and operational decision support. The project offers opportunities to contribute to the next generation of trustworthy AI technologies while addressing challenges of national importance.<\/p>\n\n\n\n

Aim  <\/p>\n\n\n\n

The project aims to develop trustworthy Agentic AI systems that can operate safely and effectively in critical infrastructure environments. Specifically, the research will:<\/p>\n\n\n\n

    \n
  1. Investigate how autonomous AI agents can reason, plan, and coordinate in complex multi-agent environments.<\/li>\n\n\n\n
  2. Develop methods to improve the reliability, robustness, and transparency of LLM-based agent systems.<\/li>\n\n\n\n
  3. Design human-AI collaboration mechanisms that allow operators to understand and supervise autonomous decisions.<\/li>\n\n\n\n
  4. Evaluate the proposed methods in realistic critical infrastructure scenarios such as cyber defence, emergency response, and infrastructure management.<\/li>\n<\/ol>\n\n\n\n

    Objectives <\/p>\n\n\n\n

    The successful candidate will undertake research in one or more of the following areas:<\/p>\n\n\n\n