
人工智能时代带来的不是就业危机,而是生计危机
传统的职业技能再培训框架,已难以跟上人工智能驱动的市场快速变革步伐。用人工智能替代人类劳动者,实际上会侵蚀关键的制度性知识,损害组织的长期价值。全球政策须从保护特定岗位,转向保障可持续的人类生计。
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.
传统的职业技能再培训框架,已难以跟上人工智能驱动的市场快速变革步伐。用人工智能替代人类劳动者,实际上会侵蚀关键的制度性知识,损害组织的长期价值。全球政策须从保护特定岗位,转向保障可持续的人类生计。
Traditional job descriptions are collapsing under AI. Here's why global policy must shift from protecting jobs to securing human livelihoods.
AI、能源体系与地缘政治的“三重转型”正同时发生。要实现AI的潜力,无论是公共部门还是私营企业的领导者,都不能忽视能源体系或国际政治动态。
AI's growth, changes to the energy system and geopolitical fragmentation have all come at once. For leaders, thats both a challenge and an opportunity.
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 essential for pooling knowledge to tackle 21st-century challenges, a process that blockchain technology can further enhance.
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.












