The hardest questions about AI are not technical - they are ethical, organisational and human
Professor Uri Gal is an international expert on AI ethics, safety, and digital responsibility. He helps leaders make better decisions about technologies that increasingly influence people, act with autonomy, and determine consequential organisational outcomes. His work helps organisations realise the value of AI while preserving accountability, human judgement and public trust.
Uri has extensive experience delivering executive programs on AI, digital ethics, and organisational transformation. He works with senior leaders to strengthen the judgement, governance, and capabilities required to adopt and govern emerging technologies responsibly.
His deep expertise in moral philosophy gives him a distinctive perspective on AI and its influence. It allows him to look beyond technical performance and compliance to examine fundamental questions about fairness, human judgement, and responsibility. He translates these ideas into actionable frameworks that leaders can use to make informed choices about where, how, and whether AI should be deployed. Audiences leave with practical ways to identify risks, navigate competing priorities, and use AI with greater clarity and confidence.
A sought-after commentator on AI and digital ethics, Uri has contributed to The Washington Post, the Australian Financial Review, ABC, The Sydney Morning Herald, The Age, The Guardian and The Australian, among other national and international media outlets.
Talking Points
How to Deploy AI Responsibly: Applied Ethics for Real-World Decisions
AI offers organisations significant opportunities to improve decisions, services, and productivity. But poorly governed systems can also entrench bias, weaken accountability, erode trust, and create harm at scale.How to Deploy AI Responsibly: Applied Ethics for Real-World Decisions
In this keynote, we will move beyond broad commitments to “responsible AI” and confront the practical choices that arise when AI is introduced into consequential areas of organisational life. Drawing on moral philosophy, organisational research, and real-world cases, we will examine how leaders can identify emergent risks, clarify responsibility, and decide when human judgement must be preserved.
We will draw on practical frameworks for evaluating where, how, and whether AI should be used, and for building governance structures that supports innovation without sacrificing accountability or public trust.
Key takeaways:
Audiences will leave with clear ways to identify AI risks, challenge untested assumptions, navigate ethical trade-offs, and make moral decisions about AI deployment.
Managing People in the Age of AI
AI is rapidly becoming part of how organisations recruit, monitor, and evaluate their workforce. These systems can improve decisions and reduce administrative burden, but they can also intensify surveillance, restrict employee autonomy, and weaken trust.Managing People in the Age of AI
In this keynote, we will examine the ethical and organisational consequences of using AI across the employee lifecycle. We will explore what happens when algorithms influence who is hired, how performance is assessed, which opportunities employees receive, and how closely their behaviour is monitored. We will consider the risks to privacy, fairness, and human agency, as well as the accountability gaps that emerge when managers defer to automated recommendations.
We will focus on practical approaches for using workplace AI that protect employee agency and human judgement without reducing people to data points, while still supporting organisational performance and a fair, high-trust workplace.
Key takeaways:
Audiences will learn how to recognise the ethical risks of workforce AI, tell genuine human oversight apart from rubber-stamping automated decisions, and make better decisions about which aspects of people management should, and should not, be automated
Leading with Agentic AI: How to Set Boundaries, Preserve Oversight and Maintain Accountability
AI is moving from producing content and recommendations to taking action. AI agents can plan work, use tools, interact with customers and carry out tasks with limited human supervision.Leading with Agentic AI: How to Set Boundaries, Preserve Oversight and Maintain Accountability
This shift creates major opportunities, but it also raises a fundamental question: When an AI system acts on behalf of an organisation, who remains responsible for what it does?
In this keynote, we will examine how autonomy changes the risks associated with AI. We will consider why traditional governance frameworks can break down when systems operate across multiple tasks and decisions, and why nominal human oversight may provide less protection than organisations assume.
Key takeaways:
Audiences will learn how to set appropriate boundaries around AI autonomy, determine which decisions should remain with people, and establish clear lines of accountability before autonomous systems are deployed.
