How public sector leaders are embedding trusted, responsible AI at scale

Across Australia and New Zealand, public sector agencies are facing mounting pressure to adopt artificial intelligence. But beyond the hype lies a complex challenge—how do government organisations deploy AI responsibly, securely, and at scale?

In our latest Public Sector Network webinar, leaders shared how their departments are navigating AI governance, data readiness, risk management, and implementation across both core and corporate functions.

Speakers included:

  • Craig Lindenmayer, Chief Information Security Officer, Australian Bureau of Statistics
  • David DuBois, Executive Director, Portfolio Performance and Digitalisation, Infrastructure NSW
  • Anthony Turco, Chief Technology Officer, Objective Corporation
  • Cass Bisset, VP Strategy, Public Sector, Objective Corporation

Key themes from the webinar

1. AI governance comes first.

Data sensitivity, auditability, and transparency are non-negotiable. ABS CISO Craig Lindenmayer highlighted their risk-managed approach to using machine learning in statistical production and internal operations.

“We double and triple-check model outputs, using expert review to maintain quality and public trust.”

2. From use case to production: The gatekeeper model.

At Infrastructure NSW, every proposed AI use case goes through an internal AI Council for evaluation.

“More often than not, projects don’t proceed—and that’s healthy. It ensures focus on appropriate, governed implementations.” — David DuBois

3. The dual meaning of agentic AI.

Agentic AI was widely misunderstood. Objective CTO Anthony Turco explained the difference between technical agent-based architecture and perceived AI autonomy.

“Agentic AI isn’t about removing humans. It’s about structured orchestration of sub-tasks to support human decision-making.”

4. Fit-for-purpose over custom-built.

Agencies are shifting from high-cost custom AI models to fit-for-purpose, off-the-shelf solutions that deliver results quickly.

“The goal isn’t building perfect models. It’s solving real problems with safe, repeatable, cost-effective tools.”

5. Internal capability is a strategic advantage.

From upskilling staff to embedding AI literacy across functions, both panelists stressed the importance of informed, empowered teams.

“Being an informed buyer of AI is as important as being a skilled user.”

What’s next for AI in government?

According to the panel, the future is one where:

  • AI becomes embedded, not exceptional
  • Data quality and integration enable agile response
  • Security and bias mitigation are automated into workflows
  • Governance-by-design becomes the default

With increased clarity around risk, cost, and performance, agencies can evolve their AI capability while keeping public trust at the center.

Watch the webinar on demand

Explore the full 60-minute discussion, from experienced voices in Australian government AI strategy.

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