PhD, Artificial Intelligence, University of Sydney, 1994
Master of Laws (LL.M.), Innovation, Law and Technology, University of Edinburgh, 2008
Master of Science, Computer Science, 1991
I am the Michael J Crouch Chair for Innovation at UNSW where I collaborate to grow entrepreneurship and accelerate innovative thinking in Australia. Micheal Crouch was an inspiring Australian entrepreneur and business leader. He was a visionary and extraordinarily generous benefactor. In 2017 Michael Crouch was appointed Companion of the Order of Australia (AC) for eminent service to the community through philanthropic contributions to youth, cultural, medical research and health care organisations, to business in the areas of manufacturing and international trade, and as a supporter of innovation and higher education.
Prior to taking up this exciting role I spent 18 years as founder and director of the Innovation and Enterprise Research Lab (The Magic Lab), Australian Artificial Intelligence Institute at UTS. The Magic Lab was a pioneer with unique transdisciplinary capabilities in key areas of innovation and enterprise. It specialised in technology-enabled innovation and build solutions using AI, Design Thinking, Experimentation, and Analytics. Our industry and government partners included South Western Sydney Local Health District, IBM, Google, Disrupt, Linkedin, bigtincan, Willow Garage (now Savioke), Amazon, Visual Risk, CBA, Denmark's National Bank, Samsung, Sony, and Softbank.
AUSTRALIAN RESEARCH COUNCIL GRANTS
Most Outstanding Faculty Advisor, Enactus Australia
Google International Faculty Award Machine Learning 2021-2022
Google International Faculty Award Machine Learning 2019 - 2020
Australasian Artificial Intelligence Distinguished Research Contribution Award 2019
Fellow, Australia Academy of Technological Sciences and Engineering (ATSE), 2015
Fellow, Australian Computer Society (ACS), 2014
Pauli Fellowship, Austrian Ministry of Science and Research, 2008
IBM Faculty Award, 2007
University of Edinburgh Law School Fellowship Award 2006 - 2008
Commonwealth Fellowship, Australian Academy of Science 1996
British Council Fellowship 1996
Australasian Distinguished Doctoral Dissertation Award 1994 Comp Sc Association (CORE)
Artificial Intelligence (AI) that can enhance, improve and scale human expertise is dramatically changing and impacting our social and working lives, influencing 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.
Human-AI collaboration is the study of how humans and AI work together to accomplish tasks and shared goals.
My research focuses on addressing the significant barriers and risks that prevent AI from delivering the extraordinary benefits it has the potential to generate. Today, AI can outperform humans in making predictions, but it cannot explain its predictions to humans. People are often unable to find the insights fro blackbox AI technologies to fully realise the benefit of AI. Without insights and understanding, humans cannot demonstrate the extent to which AI algorithms are safe, fair and responsible. This is an urgent problem that needs to be solve. We need robust AI solutions to unlock the benefits for business, society and humanity.
A related research focus is explainable AI. Today, however, AI is not transparent or accountable, unable to explain perceptions, decisions and actions. AI that cannot explain its behaviour and decisions is a significant problem for business, government and society.
People need explanations to develop trust and confidence in AI, execute AI recommendations, and accept AI actions and outcomes. Furthermore, regulators insist that business, industry and government demonstrate that their AI algorithms comply with the law. How will AI systems avoid discrimination against specific groups, and comply with anti-discrimination law?
My current focus is on developing new approaches to eXplainable AI (XAI) as a means of making AI more transparent, accountable, and trustworthy. Artificial Intelligence (AI) continues to have a profound impact on all aspects of business, government and civil society. To help bring more clarity and to explore potential solutions to the rapidly growing urgent issues, we launched the AI Policy Hub in 2018.
You can find one of my papers at the Royal Society that outlines how Australia can lead in the new AI-driven world. It is provides a summary of a presentation to the four esteemed national academies at NSW Government House in Australia in November 2018.
My Research Supervision
CURRENT PhD Students
GRADUATED PhD Students