
To govern AI, we might need to use AI
As AI increasingly influences our lives, it might be that its governance will require further artificial intelligence.
Dr. Mark Esposito is professor of economics and public policy with appointments at Hult International Business School, where he directs the Futures Impact Lab as well as Harvard University, since 2011. At Harvard, he serves as social scientist with affiliations at Harvard Kennedy School’s Center for International Development; Harvard University’s Institute for Quantitative Social Science and the Davis Center for Eurasian Studies. He is a faculty associate of the Berkman Klein Center for Internet and Society. He advises governments in the GCC and Eurasia regions and is a global expert of the World Economic Forum, working across the Global AI Alliance and the Converging Technology group. An active public policy academic practitioner, he has been working as a Professorial Fellow at Mohammed Bin Rashid School of Government as well as Adjunct Professor at Georgetown University’s McDonough School of Business.
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.
The authors explain what machine learning is, its implications and its applications.
随着2016年美国总统大选的结束以及“后真相时代”的兴起,是时候围绕教育领域创新开展一番讨论了。 教育领域面临的最大挑战是什么,又有哪些解决方案正在路上? 谁来负责重塑有缺陷的教育制度? 虽然教育制度的相关问题来自多个维度,但有件事情我们是能够确信的:要想改变社会,就得从教育后代开始做起,而这正是现在所发生的事情。 如果你环视整个教育行业,显然许多组织已经建立起了全新且...
In the wake of the US presidential election and the rise of the post-truth information era, it seems timely to open a discussion around innovation in the education sphere. What are the bi...
A look at how green chemistry can become an important foundation of the circular economy.
The luxury automotive industry is a mature industry that has traditionally focused on high quality design and manufacturing, as well as prestige marketing. Its above-average Cost of Sales...