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Masterclass: AI Governance for Executive Leaders with Dr Peta Chirgwin
Risk, Responsibility and Decision Assurance
Presented by AIMWA and facilitated by Dr Peta Chirgwin, CEO of Chameleon Mettle Group, this one day masterclass examines what AI governance asks of executives and boards. AI is already shaping decisions your organisation is accountable for, and that accountability does not shift. You will explore the current governance and regulatory landscape, how to identify risk across compliance, safety, workforce impact and organisational accountability, and how to hold human authority in place as AI use expands.
1 Day
Speaker
CEO, Chameleon Mettle Group
Dr Peta Chirgwin works at the point where technology meets the people accountable for it. Her focus is the future of work, and how organisations adopt advanced systems in ways that hold safety, performance and human judgment together.
Her expertise spans mining, energy and construction, with particular depth in control centres, human and machine integration, and autonomous systems. She has worked extensively with autonomous mining systems, led teams through complex technological transitions and provided strategic leadership on major mining projects. She has also developed technology operational readiness strategies to support the adoption of new systems, and designed learning programs for workers moving into technology-driven environments.
Peta holds a PhD in Mining Automation and Remote Operations, specialising in Human Factors. Her work addresses the practical realities of digital transformation, and how technology is integrated responsibly rather than simply installed.
She speaks regularly through keynotes, panels, webinars, podcasts and executive sessions, helping organisations navigate change while keeping people at the centre.
Overview
AI is no longer confined to a pilot or a project team. It is influencing decisions about people, money, safety and compliance, often before anyone has agreed who is accountable for the outcome.
That accountability does not shift. When an AI-assisted decision goes wrong, the responsibility still sits with executives and boards. The regulatory environment is moving quickly, stakeholder expectations are rising, and the system recommended it is not a defensible position in front of a regulator or a board.
Join us on Thursday 8 October for a one day masterclass with Dr Peta Chirgwin. It examines where accountability sits, how to assess risk across compliance, safety, workforce and organisational impact, and how to hold meaningful human authority in an AI-enabled environment.
What to expect
A single day, written for people who make decisions rather than build systems. No technical background is assumed.
Peta will take you through the current governance and regulatory landscape, then to the questions that follow from it. Who signs off on an AI-assisted decision. What oversight is meaningful and what is merely nominal. How to distinguish a genuine risk from a theoretical one. What a board needs to hear.
The day combines facilitated discussion with structured decision-assurance tools you can apply to your own organisation. You will also spend it alongside other executives working through the same questions, which is often where the sharpest thinking comes from.
Who should attend
This masterclass suits executives, directors, senior managers and board members who carry responsibility for decisions that AI now influences. It is equally relevant to those in risk, governance, legal, compliance and people functions who are being asked to advise on AI use.
You do not need a technical background. You do need to be accountable for outcomes.
What you will explore
- The current AI governance and regulatory landscape, and where it is heading
- Executive and board-level responsibilities for AI-assisted decisions
- How to identify and assess risk across compliance, safety, workforce impact and organisational accountability
- How to hold human authority and meaningful oversight in AI-enabled environments
- How to report with assurance to boards, regulators and stakeholders
- How to use structured decision-assurance tools to make AI governance an ongoing organisational practice