The hardest questions about AI are not technical - they are ethical, organisational and human
Uri Gal is a Professor of Business Information Systems at the University of Sydney Business School, where he advances research and education at the intersection of digital technologies, people, and organisations.
Uri's expertise lies in diagnosing organisational challenges related to digital change and building capabilities to navigate these transformations effectively. His research focuses on the managerial and ethical aspects of digital technologies, particularly the relationships between people and technology, as well as the changes in work associated with the introduction of AI and data analytics. He is deeply engaged in exploring how AI and data analytics reshape organisational practices and the ethical considerations that accompany these changes.
Uri has extensive experience in designing and teaching executive programs that focus on AI, ethics, and organisational change. Through these programs, he equips senior leaders with the knowledge and tools to manage the complexities of digital innovation responsibly, fostering transformative learning experiences that have a lasting impact on their organisations.
Professor Uri Gal is a prominent thought leader in the area of digital and data ethics, recognised for his insights on the societal impacts of emerging technologies. He has provided expert commentary and written extensively on ethical concerns related to digital transformation, AI, and data privacy. His insights have been featured in a range of prominent media outlets, including The Washington Post, Australian Financial Review (AFR), ABC, Sydney Morning Herald, The Age, The Guardian, and The Australian, among others.
Uri has contributed significantly to the academic community by serving on the editorial boards of leading journals and presenting his research at international conferences. He holds a PhD in Information Systems from Case Western Reserve University in the USA, and has taught at universities both in Australia and internationally.
Talking Points
Ethical AI in Practice: Making Business Decisions That Matter
Every organisation claims to want ethical AI, but what does that actually mean when the stakes are real? This talk draws on foundational ethical frameworks to evaluate AI systems and the decisions surrounding them. Learn how consequentialist thinking helps assess AI's broader societal impacts, why rule-based approaches matter for accountability and rights, and how human values shape responsible innovation. Move beyond aspirational statements to build practical frameworks that address bias, transparency, and accountability.
Ethical AI in Practice: Making Business Decisions That Matter
Truth in the Digital Age: Beyond Content Moderation
The debate over misinformation has trapped us in a false choice: either empower governments to police speech or embrace an unregulated marketplace of ideas where truth battles falsehood. Both approaches are inadequate. This talk presents a third path that focuses on the architecture of information flow rather than its content. Learn why regulating how algorithms amplify and distribute content can preserve free speech while reducing the spread of harmful misinformation. Discover what effective social media regulation could look like and why focusing on infrastructure rather than censorship offers the best hope for a healthier information ecosystem.
Truth in the Digital Age: Beyond Content Moderation
When Machines Become Companions: Intimacy, Dependence, and the Future of Human Connection
AI companions are becoming an increasingly visible part of everyday life. 72% of U.S. teens report having used an AI companion at least once, and more than half engage with them regularly. One in seven adult Australians could imagine falling in love with an AI chatbot. Often framed as benign tools for wellbeing or as responses to loneliness, these technologies raise deeper social and ethical questions. This talk examines how AI companions reshape norms of intimacy, dependency, and responsibility, and what is at stake when machines take on relational and emotional roles traditionally filled by humans. Drawing on psychological research and emerging evidence from real-world use, it explores who benefits from AI companionship, who may be most vulnerable to its effects, and how design choices can support or undermine human flourishing.
When Machines Become Companions: Intimacy, Dependence, and the Future of Human Connection
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