Why research?

Why AI research is important. Darren Chua's PhD thesis. Recommended AI research.

At Lumyra, we anchor our advice and approach in the latest cutting-edge research. Rather than just opinions, you get access to expertise and the latest evidence across technology, business and AI governance.

Our commitment to AI research helps our clients:

Create clarity through complexity: Navigating AI’s jagged frontier
AI is a moving target. It is constantly improving, hard-to-predict, and often opaque. Our focus on research cuts through the noise, helping leaders see clearly and make confident choices in an uncertain landscape.

Bridge across domains: Connecting technology, business and governance

Succeeding in AI demands seamless connections across technical innovation, business operations, and responsible AI governance – areas where few advisors excel. Our commitment to cross-disciplinary research bridges these silos to provide a holistic view.

Drive from insight to impact: Translating research into real-world value

Academic rigour without practical application is just theory. Business advice without evidence is just opinion. Our research is applied and grounded in real-world collaborations, such as Darren’s PhD research with Healthdirect Australia. This means our advice is not just theoretically sound but practical, actionable, and battle-tested.

Darren’s research

Research is a key anchor for Lumyra's advice and approach, underpinned by Darren Chua's current PhD research into human-AI collaboration and governance in high-stakes decision-making domains.

Thesis title:
Enhancing human-AI collaboration and governance in high-stakes decision-making.

Research collaboration:
Conducted in partnership with Healthdirect Australia and sponsored by Bettina McMahon, CEO.

Meta question:
How can AI be understood as a complex adaptive system (CAS), and in light of this perspective, how can approaches to “human-in-the-loop” (HITL) be optimised to enhance and adaptively govern AI deployments in high-stakes decision-making?”

Primary Supervisor:
Distinguished Professor Fang Chen, University of Technology Sydney.