Professor Dr. Mary Anne Williams
Professor
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Biography
Mary-Anne Williams is a leading academic in the field of Artificial Intelligence at the University of New South Wales (UNSW). She holds a PhD in Artificial Intelligence from the University of Sydney and has a diverse academic background including an LL.M. in Innovation, Law, and Technology from the University of Edinburgh. Williams is the founder and lead of the UNSW Business AI Lab and serves as the Deputy Director of the UNSW AI Institute. Her research interests focus on Human-Centred AI, strategic management, AI agent collaboration, and innovation management. Williams has been recognized as a Fellow of the Association for the Advancement of Artificial Intelligence and has received numerous accolades, including the Australasian AI Distinguished Research Contribution Award. She has led multiple research teams in international competitions and collaborated with industry leaders such as IBM and Google, driving innovation in AI technologies. Her work emphasizes the importance of aligning AI systems with human expectations and promoting transparent, accountable AI practices. Williams is also dedicated to teaching and mentoring students, having supervised numerous PhD candidates in cutting-edge research domains related to AI and decision-making.
Research Interests
Experience
Founder and Lead
2016-01-01 — PresentUNSW Business AI Lab • Sydney
Leading research and development in AI applications and innovation.
Deputy Director
2022-01-01 — PresentUNSW AI Institute • Sydney
Overseeing AI research initiatives and collaborations across disciplines.
Awards
Australasian AI Distinguished Research Contribution Award
Google International Faculty Award
Requirements for University of New South Wales
Master Program
Requirements
GPA Requirement
IELTS
TOEFL
PTE
Prerequisites
Application Checklist
- Academic Transcripts
- Proof of English Language Proficiency
- Curriculum Vitae (CV)
- Personal Statement
- Copy of Passport
Specialization Notes
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.