AI for Decision Makers: Mental Models for Strategy, Risk and Governance
Description
Session Overview
AI is often described either as a black box capable of producing remarkable results, or as a highly complex technical system wrapped in specialist jargon. Neither framing is especially useful for senior leaders who need to make decisions about strategy, risk, governance and organisational change.
What we now call “AI” is an emerging technology. We have seen emerging technologies before, and we can use what we already know about them to anticipate how AI may develop. Emerging technologies create change, and change creates winners and losers. The winners are not necessarily the brightest, the fastest or the most technically advanced. They are the organisations best able to apply the right strategy.
This talk introduces practical mental models for thinking about AI at the strategic level. Rather than focusing on technical detail or short-term hype, it explores how decision makers can understand what AI is, where its value and risks arise, and how familiar principles of management, governance and accountability can guide AI adoption. The aim is to help leaders move beyond simplistic metaphors and think about AI as a strategic capability.
Participants will take away practical mental models for thinking about AI at a strategic level. The session is designed for decision-makers who do not need to manage technical implementation, but who do need to make informed decisions about AI strategy, risk, governance, assurance and organisational adoption.
Lineup

Gregory Baker
Dr Greg Baker is an information systems researcher, educator and technology founder with experience across IT management, digital strategy, governance and emerging technology adoption. He holds a PhD in Information Systems from the University of Canterbury and has worked in academic, consulting and entrepreneurial roles across Australia and New Zealand. Greg was previously IT Manager at the Human Interface Technology Laboratory New Zealand, where he supported advanced technology research and operational IT capability. He has also worked as a consultant in software and digital transformation contexts, and has taught information systems, management and organisational behaviour at tertiary level. He is the founder of Australian Legislation Monitor, an AI-native legal and regulatory technology venture exploring how large language models, retrieval systems and knowledge graphs can support better access to complex legal and compliance information. His current work focuses on the strategic use of AI, especially how organisations can evaluate AI opportunities, manage risk, and make informed decisions about adoption and governance. Greg brings a practical and management-focused perspective to AI, combining technical understanding with experience in strategy, governance, organisational change and decision-making.
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