Mark Esposito is a member of the Teaching Faculty at the Harvard University's Division of Continuing, a Professor of business and economics, with appointments at Grenoble Ecole de Management and Hult International Business School. He is an appointed Research Fellow in the Circular Economy Center, at the University of Cambridge's Judge Busines School. He is also a Fellow for the Mohammed Bin Rashid School of Government in Dubai. At Harvard, Mark teaches Systems Thinking and Complexity, Economic Strategy and Business, Government & Society for the Extension and Summer Schools and serves as Institutes Council Co-Leader, at the Microeconomics of Competitiveness program (MOC) developed at the Institute of Strategy and Competitiveness, at Harvard Business School. He is Founder & Director of the Lab-Center for Competitiveness, a think tank affiliated with the MOC network of Prof. Michael Porter at Harvard Business School and Head of the Political Economy and Sustainable Competitiveness Initiative. He researches the "Circular Economy" inside out and his work on the topic has appeared on top outlets such as The Guardian, World Economic Forum, Harvard Business Review, California Management Review, among others. He is the co-founder of the concepts of "Fast Expanding Markets" and "DRIVE", which represent new lenses of growth detection at the macro, meso and micro levels of the economy. He is also an active entrepreneur and co-founded Nexus FrontierTech, an Artificial Intelligence Studio, aimed at providing AI solutions to a large portfolio of clients. He was named one of the emerging tomorrow's thought leaders most likely to reinvent capitalism by Thinkers50, the world’s premier ranking of management thinkers and inducted into the "Radar" of the 30 most influential thinkers, on the rise.
The AI Governance of AI: The Rising Dilemma of Determinism versus Efficiency
The question of AI governance leads us to a foundational issue: to govern AI, we may need to use AI.
Why Machines Will Not Replace Us
Rather than undermining humans, we are much better off thinking hard about how to upskill ourselves and learn how to work alongside machines.
Humans and AI: Rivals or Romance?
Humans and machines will – and must – work together. What really matters is how to prepare people to work increasingly closely with machines.
A Magna Carta for Inclusivity and Fairness in the Global AI Economy
Whether in an economic, social, or political context, we must begin to consider inclusiveness and fairness of AI.