Explainable Artificial Intelligence

Artificial Intelligence (AI) that can enhance, improve and scale human expertise is dramatically changing and impacting our social and working lives, controlling how we perceive and interact with the physical and digital world. 

Society is rapidly moving into the AI-Age where individuals, citizens, societal groups, businesses, governments and the global economy increasingly rely on the perceptions, decisions and actions of AI. 

Today, however, AI is not transparent or accountable because AI perceptions, decisions and actions are opaque and inexplicable. AI that cannot explain its behaviour and decisions is a significant problem for business, government and society. 

People need explanations to develop confidence in AI, execute AI recommendations, and accept AI actions and outcomes. Furthermore, regulators insist that business, industry and government must prove that AI algorithms comply with the law. How will AI systems demonstrate that they are not discriminating against specific groups, and that they are complying with anti-discrimination law.

I focus on explainable AI (XAI) research. 

Check out an insightful article in the NY Times on Explainable AI - "Can A.I. Be Taught to Explain Itself? As machine learning becomes more powerful, the field's researchers increasingly find themselves unable to account for what their algorithms know - or how they know it....."

AI Policy Hub

Artificial Intelligence (AI) continues to have a profound impact on all aspects of society. To help bring more clarity and to explore potential solutions to the rapidly growing urgent issues, we launched the new AI Policy Hub.

Predicting Disruptive Innovation

"Major advances in cognitive technologies over the last few years will lead to the disruptive adoption of autonomous systems that can think for themselves."

Mary-Anne Williams


Meet our RoboCup Social Robotics Team

UTS Unleashed!, is a new Social Robot RoboCup Team the only Australian team that qualified for the 2017 International RoboCup Championships in Japan. I am leading this amazing team comprising UTS staff and students.  The RoboCup opportunity enriches our unique research partnership with Softbank Robotics and strengthens our partnership with CBA.

Distinguished Professor Steve Wozniak (Woz) with Meg, Sammy and Chand.

Distinguished Professor Steve Wozniak (Woz) with Jesse, Chand, Meg, Sammy and Le.

CBA-UTS Social Robotics Partnership

I lead the UTS side of the CBA-UTS Social Robotics Academic-Industry Partnership. 

Speaking with the Dalai Lama about Compassion in a World of AI and Robots Sydney June 25, 2018

A full list of Invited Presentations is also available here.



I focus on innovation and the customer experience.  My methods involve design thinking, developing agile and experimental methods, building to learn, learning by doing. 


I explore and experiment with technologies that create new value and that have the potental to disurb exisiting value pools unleashing extraordinary opportunity and consumption benefits.


My research is transdisciplinary involving computer science, cognitive science, robotics, AI, data analytics, knowledge representation, business, law and ethics. j



I come from a long line of entrepreneurs with a strong sense of fun and adventure. The Magic Lab is like a startup designed to deliver value to our stakeholders: students, partners and angel investors. We guide researchers and student founders helping them develop the leadership skills they need to navigate their entrepreneurial  journey.


I work with industry, business, the professions and government to bring radicial innovation and practical methods to business challenges..


I design transformative educational experiences that are exciting, engaging, and fun. Changing mindsets, enabling new strategies through the discovery of new insights and new found confidence.



Leading teams of researchers, building innovative systems for more than 30 years. The first business system I designed, developed and deployed was a fully customised database management system based on a hashing algorithm for rapid retrieval on a IBM PC in 1984.



Envisioning, negotiating, leading and executing challenging complex projects including computing and robot systems, groundbreaking research projects, and innovative large scale training programs.



Creating significant new value for students, the university, research collaborators and partners through purposeful focus and powerful technology insights.


School Resource Book on Drones, Droids and Robots 2016

Presentation Examples

The Robot Revolution presented at the       Australian Academy of Science 2015

WestPac sponsored video inspiring young women to take up careers in Information Technology 2007. More than 19,000 views on YouTube and available as a DVD in every school library in NSW.

Artifical Intelligence Panel at PauseFest, Melbourne

Magic Lab Video Examples

UTS Pepper Robot introducing ABC Lateline 2017

This short movie won the Most Entertaining Autonomous Robotics Video at IJCAI in Beijing 2013.

Samsung sponsored Robot Demo at the Digital Life Exhibition Melbourne 2012. Dance created by Benjamin Johnston.

Driverless cars are social robots.

Robot Soccer Videos