As governments grapple with rising expectations for smarter, faster, and more secure services, the ability to innovate responsibly with data has never been more important. In his keynote case study, “Learnings from the Use of AI and Synthetic Data,” Alex Jenkins unpacked the potential of synthetic data to overcome traditional barriers of access, privacy, and compliance.
He explored how synthetic data, when combined with AI, enables safe experimentation, supports training models, and accelerates innovation across agencies without compromising sensitive citizen information.
Key Highlights:
- Driving public sector innovation: Demonstrating how AI and synthetic data can create smarter, more efficient government services.
- Foundations for synthetic data: Outlining how agencies should define clear objectives and use cases to ensure synthetic data delivers value.
- Innovation journey: Sharing lessons from real-world projects where synthetic data was deployed to test, train, and scale AI models.
- Unlocking opportunities: Showing how WA agencies can use synthetic data to responsibly explore new capabilities while reducing risk.
Jenkins underscored that synthetic data is not just a technical tool, but a strategic enabler for government. By creating realistic, privacy-preserving datasets, agencies can safely innovate, accelerate AI adoption, and open new pathways to deliver better services and outcomes for citizens.
Speaker:
Alex Jenkins, Director of the WA Data Science Innovation Hub and Chair & Founder of the Curtin AI in Research Group.
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