
AI招聘具有超出预期的包容性和透明度
随着劳动力市场更加紧张、申请人数突破纪录,企业正将AI招聘纳入实践。AI主导的面试可以为被忽视的候选人提供更多机会、减少招聘人员偏见、提高效率,并使拒录变得更加公平。但这些好处也依赖于谨慎的AI风险管理和治理。
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.
随着劳动力市场更加紧张、申请人数突破纪录,企业正将AI招聘纳入实践。AI主导的面试可以为被忽视的候选人提供更多机会、减少招聘人员偏见、提高效率,并使拒录变得更加公平。但这些好处也依赖于谨慎的AI风险管理和治理。
Las entrevistas guiadas por IA pueden ampliar las oportunidades para los candidatos pasados por alto, reducir el sesgo de reclutamiento y aumentar la eficiencia.
AI-led interviews can expand opportunities for overlooked candidates, reduce recruitment bias, increase efficiency and make rejection more constructive.
La competencia estratégica en materia de IA está marcada por el aumento de las barreras comerciales, ambiciones rivales y disputas por controlar los datos y su infraestructura.
Strategic competition over AI is marked by rising trade barriers, competing ambitions and a scramble to secure control over data and its infrastructure.
Los bienes comunes digitales son clave para compartir conocimientos y navegar las complejidades del siglo XXI. Este proceso proceso que puede mejorarse con blockchain.
The digital commons are key to pooling knowledge in order to navigate 21st-century complexities – a process that can be enhanced by blockchain technology
La gobernanza algorítmica abarca las normas y prácticas para la construcción y el uso de algoritmos integrados en tecnologías de IA. Pero, ¿cómo deben aplicarse?
Algorithmic governance covers the rules and practices for the construction and use of algorithms embedded in AI technologies. But how should these be applied?
Generative AI has sped up content creation, but businesses must find new ways to engage with the technology to improve its trustworthiness and reliability.
Technology rules are increasingly fragmented across regions, but agile governance can create a nimbler and more adaptive approach to regulation.
自疫情爆发以来,我们了解到不同的复苏曲线:Z型复苏(乐观:衰退,反弹至危机前的增长态势)、V型复苏(乐观:急剧下降,迅速复苏)、U型复苏(有点悲观:介于衰退与复苏之间的时期)、W型复苏(悲观:复苏,第二次下降)与L型复苏(最悲观:持续低迷)。
New research from JP Morgan suggests the recovery from the COVID-19 pandemic might be K-shaped - with implications for SMEs in particular.
Our adoption of AI technology has accelerated during the pandemic. It's time for a deeper conversation on what we need from AI in order to respond to future crises.
Fintech startups are offering new, innovative services to increase financial inclusion.











