
人类即将踏上人工智能之旅
人们对计算机分析和学习技术进行了研究,并把它们用于了人工智能领域。人工智能代表了人们的雄心壮志:创造能够思考、学习、解决问题的机器。在应用方面,和人类的心智别无二致。
Mark Esposito, Professor of Strategy and Technology Policy, Faculty Fellow at the Center for Emerging Markets, and Affiliate Scientist of the Global Resilience Institute at Northeastern University, is a globally recognized scholar, educator, and practitioner at the forefront of technology, economics, and public policy. He specializes in the Fourth Industrial Revolution and artificial intelligence, with expertise spanning academia, international organizations, and the private sector.
Mark Esposito equally holds appointments at Harvard University, where his affiliations span the Berkman Klein Center for Internet and Society at Harvard Law School, the Center for International Development at Harvard Kennedy School, and the Institute for Quantitative Social Science. He is also a Senior Associate at the University of Cambridge, an institution with which he has maintained deep ties since he joined as inaugural fellow the Circular Economy Research Center at Cambridge Judge Business School in 2016, a role he held through 2020.
Mark is closely connected to policy and innovation initiatives worldwide. He is a member of the World Economic Forum's Global AI Alliance, Fostering Converging Technologies group and Next Frontier of Operations, Centre for Advanced Manufacturing and Supply Chains. He has been a Fellow at the Mohammed Bin Rashid School of Government in Dubai since 2017. He has advised government agencies across the Gulf Cooperation Council and Eurasia, and for over a decade co-led the Institute's Council on Microeconomics of Competitiveness at Harvard Business School under Professor Michael Porter. An accomplished entrepreneur, he co-founded Nexus FrontierTech, an influential machine learning research firm, as well as The Chart ThinkTank and the AI Native Foundation. He currently serves as Chief Economist of micro1, a Silicon Valley AI lab developing human intelligence platforms for the training of frontier AI models.
He holds a doctoral degree from École des Ponts ParisTech in France, the world's oldest civil engineering school.
人们对计算机分析和学习技术进行了研究,并把它们用于了人工智能领域。人工智能代表了人们的雄心壮志:创造能够思考、学习、解决问题的机器。在应用方面,和人类的心智别无二致。
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