University of Queensland
Navigating the AI Governance Landscape
- Delivery: Face to Face
- Duration: 2 days
- Course Type: Short Course
- Total Price: $3,740
Navigate the complexities of AI with confidence and clarity.
Course overview
This course equips professionals with the essential knowledge and capabilities to govern the use of AI responsibly and effectively within their organisation. You’ll explore the evolving landscape of AI regulation, identify and mitigate potential risks and develop a deep understanding of the ethical considerations that underpin sustainable AI use.
Through applied learning, you’ll build the skills needed to engage with technical teams, make informed decisions and contribute to governance strategies that balance innovation with accountability.
Whether you're guiding strategic decisions or shaping organisational policy, this course will help you play an active role in the future of AI in business.
Key facts
11th November, 2026
What you will learn
- How to identify key opportunities and risks associated with the use of AI in your organisation.
- Navigate the evolving AI regulatory and compliance landscape, including international laws and Australian standards.
- Apply core ethical principles to ensure responsible and fair AI implementation.
- Develop and implement effective AI governance capabilities to manage AI systems across different organisational contexts.
- Enhance your problem-solving, critical thinking and communication skills to engage confidently with technical teams and stakeholders.
Time commitment
This is a two-day course.
Assessment
There are no formal assessments for this course. However, to obtain a digital badge, you will need to complete an applied learning activity.
Who should attend
This course is designed for professionals across industries who are responsible for shaping how AI is used and governed within their organisation. It will be particularly valuable for:
- AI and IT consultants
- Data and AI project managers
- Data specialists
- Strategy and innovation leaders
- Risk and compliance managers
- Governance executives
- Directors seeking AI proficiency
Ideal for those with experience in a managerial or leadership role, this course supports individuals looking to better understand the impact of AI, strengthen governance capabilities and drive responsible innovation.
Entry requirements
There are no prerequisites to enrol in this course.
Facilitators
- Dr Katie Williams (Senior Lecturer, Business School)
- Associate Professor Saeed Akhlaghpour (Associate Professor, School of Business)
Who You Will Learn From
Dr Katie Williams
Senior Lecturer
Katie Williams is a Senior Lecturer within the University of Queensland's Business School and specialises in Business Information Systems.
Katie's doctoral dissertation, “Investigating Information Systems Risk Management Processes and Information Security Practices within e-business Organisations” focused on the design of a series of classification frameworks relating to various aspects of information systems risk management, including the creation of the CARE framework.
A former KPMG Partner, Katie brings significant curated industry experience in the public sector, with a focus on business and digital transformation, data governance, business analytics and continuous auditing practices. Katie is a member of the Future of health - Business School - University of Queensland and an active member of the University's Business Educator's Hub.
Katie currently teaches into the MBA and Master of Business Analytics programs; and has designed and taught several Executive Education courses focusing on the use of data in aiding decision-mkaing.
Her research interests include AI governance, the impact of AI across the public sector, the use of AI as a pedagogical tool, and data governance.
Associate Professor Saeed Akhlaghpour
Associate Professor, School of Business
Dr Saeed Akhlaghpour is an Associate Professor of Information Systems at UQ Business School. Prior to joining the University of Queensland in 2015, he held academic positions at Middlesex University London (UK) and McGill University (Canada) - where he also obtained his PhD in Management. Saeed is a Fellow of the Higher Education Academy. He teaches Information Systems, Artificial Intelligence (AI) and digital strategy and governance in the Master of Business Analytics, Master of Commerce, MBA and Executive Education programs. Previously, he has taught courses to MBA and undergraduate business students in Brisbane, London, Montreal and Tehran.