Dr Qinghua Lu

Dr Qinghua Lu is a principal research scientist at CSIRO's Data61. She leads the Software Engineering for AI research team and Responsible AI science team. Her research interests include responsible AI, AI engineering, AI safety, software engineering for AI, and software architecture.

Her team's recent research includes
- AI Safety Evaluation
- Agent Platform Architecture Design (cited by scientific report on advanced AI safety for AI Safety Summit)
- Runtime Guardrails for Agents
- Agentic Compliance Checking
- Agent Workflow Exception Handling
- AgentOps
- AI/Data/Vulnerability Bill of Materials (BOM)
- AI/Software Supply Chain Guard
- UI Guard for Dark Pattern Detection
- ESG-AI Assessment (widely reported internationally)
- Responsible AI Question Bank
- Responsible AI Metric Catalogue
- Responsible AI Pattern Catalogue (highlighted in the National Framework for the Assurance of AI in Government)

Here is a summary of her team's work: Responsible AI Engineering

Books

Her book “Responsible AI: Best Practices for Creating Trustworthy AI Systems” was published by Pearson Addison-Wesley in Dec 2023. This book is the world’s first responsible AI book for practitioners, which peaked at No.3 on Amazon’s AI book bestseller list.

Her forthcoming book "AI Engineering: Architecture and DevOps for AI Systems" is set to be published by Pearson Addison Wesley at the end of 2024.

Papers

She has published 150+ papers in premier international journals and conferences.

Recent Publications: Google Scholar profile

Community Services

She is part of the International Working Group on AI Metrology (established by Frontier Model Forum and Human Intelligence) and OECD.AI’s trustworthy AI metrics project team. She also serves a member of Australian’s National AI Centre Responsible AI think tank.

Here is the list of professional services in the recent 5 years.
* Area Chair of Software Engineering for AI, International Conference on Software Engineering (ICSE'26)
* Organisation Chair, Annual International Workshop on Responsible AI Engineering
* Program Chair, AIware'25
* Program Chair, 4th International Conference on AI Engineering (CAIN'25)
* Local Chair, WWW'25
* PC member: AAAI, ICSE, FSE, ICSA, AIware, NeurIPS, ICML, ICLR, CAI, BPM, SAML, ECSA, etc.
* Associate Editor: IEEE Transactions on Artificial Intelligence
* Associate Editor: IEEE Communications Surveys and Tutorials
* Associate Editor: Engineering Applications of Artificial Intelligence
* Associate Editor: Elsevier Blockchain Research and Applications

Awards

She is the winner of the 2023 APAC Women in AI Trailblazer Award. She received IEEE Hyper-Intelligence Technical Committee (HITC) Mid Career Award in 2023. Her recent paper titled “Towards a Roadmap on Software Engineering for Responsible AI”, which has set the future direction of the field, is widely cited by the community and won the ACM Distinguished Paper Award.