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Theodoros Evgeniou

Professor of Decision Sciences and Technology Management

Biography

Theos Evgeniou is a professor of Decision Sciences and Technology Management at INSEAD and director of the INSEAD Executive Education program on Transforming your Business with AI.

He has been working on Machine Learning and AI for the past 25 years, on areas ranging from AI innovations for business process optimization and improving decisions in Marketing and Finance, to AI regulation, as well as on new Machine Learning methods. His research has appeared in leading journals, such as in Science Magazine, Nature Machine Intelligence, Machine Learning, Lancet Digital Health, Journal of Machine Learning Research, Management Science, Marketing Science, Harvard Business Review magazine, and others.

Professor Evgeniou is a member of the OECD Network of Experts on AI, an advisor for the BCG Henderson Institute, has been a World Economic Forum Academic Partner for Artificial Intelligence, and together with three INSEAD alums is also a co-founder of Tremau, a B2B SaaS company whose mission is to build a digital world that is safe & beneficial for all. He gives talks and consults for a number of organisations in his areas of expertise, and in the past he has been involved in developing hedge fund strategies with more than $100 million invested. He has received four degrees from MIT, two BSc degrees simultaneously, one in Computer Science and one in Mathematics, as well as a Master and a PhD degree in Computer Science.

Latest posts

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Leadership & Organisations

OpenAI's Crisis Is Yet Another Wake-Up Call

T. Evgeniou, Y. Lechell, L. Van der Heyden

Effective governance can save AI doomers, accelerationists, altruists and techno-capitalists from themselves.

Economics & Finance

Managing Systemic Risks in Tech: Lessons from Finance

F. Candelon, D. Martinez, P. Nathanial, T. Evgeniou, L. Van der Heyden

The financial sector's track record in risk management offers invaluable lessons for the tech industry.

Strategy

Must AI Accuracy Come at the Cost of Comprehensibility?

F. Candelon, T. Evgeniou, D. Martens

Companies looking to integrate AI in their operations should think twice before turning their backs on simpler, more explainable AI algorithms in favour of complex ones.
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Operations

Navigating Trust and Safety in the World of Generative AI

T. Evgeniou, J. Dunn, A. Hunsberger

The new generation of artificial intelligence can help defend against online harms – if we can effectively manage the risks.

Entrepreneurship

What All Tech Start-Ups Need to Succeed

T. Evgeniou, L. Van der Heyden, Y. Lechelle

Governance exists to help tech entrepreneurs prevent value destruction from day one.

Responsibility

Without Shared Values and Goals, Tech Regulations Won't Work

T. Evgeniou, L. Van der Heyden

The world needs to harmonise goals and values in order to rein in the potential harm technology can cause.