
To fight COVID-19, governments need to rethink the value of information
As the world continues to grapple with COVID-19, the Massachusetts Institute of Technology looks at the AI tools which have been used in the pandemic.
Dr. Mark Esposito serves as Faculty Affiliate at the Harvard's Center for International Development at Harvard Kennedy School. He holds professorships of economics and public policy with appointments at Hult Int’l Business School as well as Harvard University. He is equally an Adjunct Professor of Economics and Policy at Georgetown University’s McDonough School of Business. Besides, he
At Harvard, he serves as social scientist with affiliations Harvard University’s Institute for Quantitative Social Science (IQSS) and the Davis Center for Eurasian Studies. He is an incoming faculty affiliate of the Berkman Klein Center for Internet and Society at Harvard.
He has been affiliate faculty of the Microeconomics of Competitiveness at Harvard Business School, under the mentorship of Prof. Michael E. Porter for over a decade and he served as Founding Fellow of the Circular Economy Research Center at the Judge Business School, at the University of Cambridge, where he retains a Senior Associate role.
He advises governments in the GCC and Eurasia regions and is a global expert of the World Economic Forum and has been working as a Resident Fellow as well as Professor of public policy at Mohammed Bin Rashid School of Government. He is currently the Chair of the Governance Group and Senior Fellow at the DC thinktank, The Digital Economist.
He co-founded the Machine Learning research firm, Nexus FrontierTech and the EdTech venture, The Circular Economy Alliance. He has equally co-founded The Chart ThinkTank and The AI Native Foundation.
Dr. Mark Esposito has trained, consulted and advised hundreds of public and private sector entities. A frequent keynote speaker in events from TED, World Economic Forum and the Global Drucker Forum he works on thought leadership with consultants such as McKinsey, Accenture, PwC, Deloitte, AlphaInsights and Cap Gemini. On strategy with corporates such as SAP, Toyota, Salesforce, Majid Al Futtaim, Haier, Huawei, Philips, Saudi Telecom, Ooredoo Telecom Italia, Enel, Santander, Airbus, Barilla, Lavazza, Chanel, MerckSerono, Philip Morris. He has worked and advised the United Nations, The National Bank of Malaysia, The European Development Bank, the European Parliament, the UAE Prime Minister Office, The Dubai Future Foundation, The Omani Ministry of Planning, ADAL in Saudi Arabia, Qatar Foundation, the Kuwait Foundation for the Advancement of Science, the Tony Blair Institute, NATO, The European Commission and the Economic Advisory Council of India’s Prime Minister Office.
Dr. Esposito has written or co-written over 150 publications, both peer-reviewed and non-peer-reviewed, and 13 books, two of which are Amazon bestsellers: "Understanding how the Future Unfolds" (2017) and "The AI Republic" (2019). His most recent books include "The Emerging Economies under the Dome of the Fourth Industrial Revolution" (Cambridge University Press, 2022), "The Great Remobilization: Strategies and Designs for a Global Smarter World" (MIT University Press, 2023), and "Digitizing the Emerging Economies" (Cambridge University Press, 2024). His forthcoming books are "Tectonic Shifts: How Technology is Remaking Global Power Dynamics" (Penguin Random House, 2025) and "Becoming AI Native: A Playbook for Businesses" (Routledge, end of 2025). He is a regular contributor to Project Syndicate, World Economic Forum Blog, California Management Review, and Harvard Business Review.
He has a doctorate from Ecole des Ponts Paris Tech and he lives across Boston, Geneva and Dubai.
As the world continues to grapple with COVID-19, the Massachusetts Institute of Technology looks at the AI tools which have been used in the pandemic.
As they become more prevalent it is in everyone's interest to consider how technologies such as self-driving cars will navigate life-or-death ethical dilemmas in the real world.
Consumers need to be made more aware of just how much of what they do on the internet is traceable, as recent scandals highlight.
As nations race to create the next AI innovation, working together could provide us with more benefits and fewer risks.
数据统治了我们的生活,因为它不仅能告诉公司我们的需求,还能帮助我们记录并分类所求、所需、所忽视的事物。所有的决定都会被模式替代,而模式合在一起就是我们自身的样子。现在,我们被各种模式环绕,甚至被其赶超——在餐厅里,我们会让其知道我们是否有过敏史;在零售店里,我们会让其知道我们喜欢的服装尺码。这样的世界运行方式已摆在我们眼前,如果还有人将其标榜为科幻小说,那他不是缺乏想象力...
As AI increasingly influences our lives, it might be that its governance will require further artificial intelligence.
More venture capital, less labour law and a 21st-century education system are how Europe can beat the trap of falling living standards for future generations.
New technology has the capacity to revolutionize education, but only if we let it.
Humans will work increasingly closely with machines, and we need to prepare people for that.
Humans will work increasingly closely with machines, and we need to prepare people for that.
A comparison between two economic indicators shows how competitiveness is more closely related to social progress than to GDP.
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。
AI is absolutely nothing new, but there's still more to come.
The circular economy, if used properly, could dramatically decrease waste.
Neural networks and deep learning will have a huge impact on the future of AI.













