– By Mary-Anne Williams, CommBank
Responsible AI is about putting people at the centre of AI, designing a new generation of enterprise systems and personal productivity tools that strengthen human intelligence, strategic innovation capabilities and critical thinking. AI is most valuable when it processes data at scale, helping people see new opportunities and freeing them to focus their expertise where it matters most.
It also means taking a responsible, AI-by-design, principles-based approach to innovation. Not principles in theory, but embedded in practice through robust governance and fit-for-purpose guardrails for deploying and monitoring AI systems. Principles such as fairness to prevent discrimination; transparency, so outputs are understandable; and clear human accountability for decisions.
Considering AI’s ethical, societal and environmental impacts is also critical. We should ask whose interests this technology serves, how its benefits are shared and what capabilities we may lose if we automate without careful consideration.
Research has an important role to play in answering these questions.
The role of university research
When it comes to research, CommBank’s collaboration with MIT Sloan explores how people interact with AI, and how to retain distinctly human skills in AI-enabled workflows. Our partnership with Melbourne Business School measures Australians’ attitudes to AI over time as the technology evolves.
Universities have a distinctive role in leading responsible AI innovation by pursuing questions of societal consequence with scientific rigour. They can investigate AI’s impact on individuals, organisations and communities while providing trusted evidence about what works, what is safe, where caution is warranted and how to align AI technology with our preferences and expectations.
The strongest outcomes will come from deep collaboration between industry and universities, co-creating significant mutual value: finding real problems, creating meaningful value exchanges between researchers and practitioners, and developing shared approaches to AI evaluation, governance and safety. By combining research depth with practical experience, universities and industry can drastically accelerate responsible adoption across Australia.
The economic opportunity for Australia is significant, but capturing value will require more than adopting the latest technology. It requires investment in research, skills and responsible deployment. If universities and industry work together, we can demonstrate that innovation and human values are complementary and shape AI together in line with our shared values.
Professor Mary-Anne Williams
Chief AI Scientist, CommBank