Hamilton Mann Keynote Speaker

AI Researcher, bestselling author and Tech executive
Thinkers50 Distinguished Achievement Award winner in Digital Thinking (2025)
Top 10 essential read on AI by the Next Big Idea Club (2025) and Top 10 new management book by Thinkers50 (2025)

Hamilton Mann 's Biography

Hamilton Mann is a tech executive, a bestselling author, a sought-after speaker, a lecturer at INSEAD and HEC Paris, a Doctoral Researcher in AI at Ecole des Ponts et Chaussées – Institut Polytechnique de Paris, a Senior Fellow at the Retech Center of the Ecole des Ponts Business School and a Mentor at the MIT Priscilla King Gray Center.

He was named a Top 10 Thought Leader in Technology by Technology Magazine (2024), inducted into the Thinkers50 Radar as one of the 30 most prominent rising business thinkers globally (2024) and recipient of the Thinkers50 Distinguished Achievement Award in Digital Thinking (2025).

Mann’s bestselling book ‘Artificial Integrity: The Paths to Leading AI Toward a Human-Centered Future’ (John Wiley & Sons, October 2024) was selected as a Must-Read of 2024 and as one of the Top 10 essential read on AI for 2025 by the Next Big Idea Club, and was named one of the Top 10 New Management Books of 2025 by Thinkers50.

Mann is also the contributing author of four books, including ‘Driving Sustainable Innovation: How to Do Well While Doing Good’ (2024), ‘Connectedness: How the Best Leaders Create Authentic Human Connection in a Disconnected World’ (2024) and ‘GAIN: Demystifying GenAI for office and home’ (2025) and ‘People, Planet and Profit in the Age of AI: A Strategic Guide for Executives’ (2026).

As an executive leading digital transformation for decades, and formerly an advisor to Fortune 500 companies, Mann serves as Group Vice President at Thales, a global leader in Defense, Aerospace and Cyber & Digital where he co-leads group-wide AI initiatives and digital transformation, while also overseeing the company’s global digital marketing activities. Some of his achievements have been featured in a case study by IMD.

He writes regularly for Forbes US about AI and its societal implications and has contributed to leading academic and business outlets, including California Management Review, Rotman Management Magazine, and the Stanford Social Innovation Review, as well as Leader to Leader (Wiley), Knowledge@Wharton, I by IMD, INSEAD Knowledge, Dialogue Duke Corporate Education, Polytechnique Insights, and The European Business Review.

He has spoken at major international conferences, including the Global Peter Drucker Forum and the Web Summit.

He hosts The Hamilton Mann Conversation, a podcast aiming to democratize knowledge about how digital technology, including AI, can be a force for good in society.

Artificial Integrity

Why artificial integrity, not intelligence is the next frontier in AI? In the race to develop ever more intelligent AI systems, we’ve often overlooked a fundamental question: Are these systems aligned with our core human values? Hamilton Mann’s talk on Artificial Integrity emphasizes that without integrity, artificial intelligence can lead us astray.

This session delves into the concept of Artificial Integrity, exploring why it’s essential for AI systems to prioritize safety, fairness, values, explainability, and reliability over mere computational prowess.

In this session, you will learn:

The limitations of current AI systems concerning ethical considerations and societal impact.

The five critical pillars of Artificial Integrity: Safety, Fairness, Values, Explainability, and Reliability.

How to implement the Society Values Model, AI Core Model, and Human and AI Co-Intelligence Model to ensure AI systems align with human-centric values.

Strategies for organizations to transition from intelligence-led to integrity-led AI development.

Whether you’re developing AI systems, leading digital transformation, or shaping policy, this session will redefine what it means to build AI that serves humanity—by upholding integrity, not just intelligence, and shifting the focus from task performance for its own sake to integrity-led outcomes.

Technological Stockholm Syndrome

Why we bond with the technology that undermine us, and how to reclaim cognitive sovereignty? Have you ever felt emotionally attached to a digital tool that frustrates you, tracks you, or even makes decisions for you? You’re not alone. As we increasingly integrate AI and digital systems into our lives, a hidden psychological process is unfolding: one that mirrors trauma response more than rational adoption. This talk introduces the concept of Technological Stockholm Syndrome, exploring how emotional dependence on technology forms not by choice, but through the collapse of our internal defense mechanisms, and what we can do about it.

In this session, you will learn:

Why successful digital adoption often masks a psychological submission, not empowerment.

How emotional identification with technology rewires our brains and compromises autonomy

What the ten “functional gaps” of artificial integrity are and how to detect them in your own tools and workplace.

Whether you’re a tech leader, policy maker, designer, or digital citizen, this session will challenge your assumptions about innovation and offer a new framework for ethical and intentional digital engagement.

The Flawed Assumption Behind AI Agents’ Decision-Making

Which AI Agents do you need and for doing what? Most AI systems are designed to follow one idealized path of decision-making: data in, analysis done, decision out. But human decision-making doesn’t work that way and it never has. Real-world decisions are messy, emotional, biased, urgent, collaborative, and often irrational. Yet these realities are rarely reflected in the models we embed into AI agents today. This session challenges the one-size-fits-all approach to AI reasoning and introduces the concept of decision-making elasticity, where integrity, not autonomy, becomes the key to meaningful machine-led decisions.

In this session, you will learn:

The seven human decision-making models from intuition and emotion to rules, heuristics, and crisis response.

The cognitive blind spots in today’s AI agents, and why they struggle with ethical, commonsense, and reflective reasoning.

What it takes to move beyond performance toward purpose in machine-led decisions.

How to embed artificial integrity in AI design to ensure systems adapt to context, recognize their own limits, and defer to human input when appropriate.

Whether you’re building AI systems, governing their deployment, or using them in high-stakes environments, this session will equip you to evaluate, “hire” and design AI agents you need, that respect human complexity and operate with a sense of artificial integrity, not just computational speed.