AI Explainability for Enterprise Information Management
Practical strategies for governing AI, strengthening information management, and improving trust, transparency and accountability across Australian Government environments
Event Details
Date: Wednesday 24th June
Time: 12:00 pm – 2:00 pm
Venue: The BoatHouse Testaurant
Address: 7 The Boulevard, Melbourne Victoria 3039
Hosted by: Astral Consulting in collaboration with Swinburne University of Technology
Overview
Australian Government agencies are rapidly exploring Generative AI while facing increasing pressure to maintain compliance, transparency, defensible decision-making and trusted public service delivery. Many organisations are now encountering a gap between AI experimentation and enterprise-scale governance.
This executive briefing workshop brings together senior ICT, information management, digital transformation, data governance and risk leaders to examine the findings of the nationally recognised PhD-led industry report ‘AI Explainability for Enterprise Information Management’.
Developed through workshops with experienced Enterprise Information Management practitioners across major Australian organisations, the research identifies the real-world barriers, governance risks and operational considerations that agencies must address to implement AI responsibly and effectively.
Who Should Attend
- CIOs and CTOs
- Chief Data and Information Officers
- Heads of Information Management and Governance
- Digital Transformation Executives
- Cyber Security and Risk Leaders
- Records and Compliance Executives
- Government ICT and Program Leaders
Why Attend
- Gain practical insights into how leading organisations are approaching explainable and governable AI
- Understand the most significant AI risks currently impacting enterprise information environments
- Explore practical AI use cases aligned to the Enterprise Information Management lifecycle
- Learn how stronger information architecture and metadata practices improve AI readiness
- Examine frameworks for balancing automation with human oversight and accountability
- Engage directly with peers facing similar governance, compliance and operational pressures
Key Discussion Points
1. AI Governance and Explainability in Practice
How agencies can strengthen confidence, transparency and accountability in AI-supported decision making.
2. Aligning AI to Enterprise Information Management
Understanding where AI creates measurable value across information lifecycle management and where governance gaps emerge.
3. Information Architecture Foundations for AI Readiness
Why metadata, taxonomies, classification and information governance remain critical to successful AI adoption.
4. Managing Risk, Privacy and Compliance
Approaches to reducing exposure associated with poor data quality, uncontrolled AI usage and weak oversight.
5. Human-in-the-Loop Governance
Balancing automation efficiency with appropriate executive oversight, assurance and auditability.
Workshop Format
An interactive executive briefing and peer roundtable discussion designed specifically for Australian Government ICT and Information Management leaders. Attendees will receive practical insights, discussion frameworks and research-backed guidance that can be applied within their own organisations.
