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.
A medida que nos encontramos en una encrucijada entre la innovación tecnológica y los desafíos globales, ¿cómo podemos asegurar que nuestro futuro digital sirva al bien común en lugar de ...
As we stand at the crossroads of technological innovation and global challenges, how can we ensure that our digital future serves the common good rather than exacerbating existing inequal...
En junio de 2023, el Parlamento Europeo votó un instrumento jurídico destinado a regular el diseño y el uso de la inteligencia artificial (IA) en función de su nivel de riesgo para los de...
In June 2023, the European Parliament voted on a legal instrument intended to regulate the design and use of artificial intelligence (AI) according to its level of risk to citizens' funda...
Automation relies on human dependence on machine intelligence, which is deeply affected by the universal values of accuracy and trust. Automation and efficiency initiatives will be hamper...
Although technology regulation is evolving rapidly in today's world, such regulation remains greatly fragmented across national and regional divides. Agile governance can potentially solv...
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）。
Since the start of the pandemic, we’ve heard about different recovery curves: Z-shaped recovery (optimistic: downturn, bounces back to pre-crisis growth), V-shaped (optimistic: steep decl...
These months have proven to be emblematic of the dangers of a hyperconnected world. Despite efforts to restrict international and domestic travel, coronavirus cases continue to grow and g...
Like bread and butter, fintech has always been paired with terms such as financial inclusion, “unbanked,” and “underbanked.” Admittedly, with the current pandemic, maybe no one is in the ...
In 2008, the UK published its first national risk register, allowing a public sense of the national security priorities for civil emergencies. The report measured risks along two dimensio...
Over the past few years, the MIT-hosted “Moral Machine” study has surveyed public preferences regarding how artificial-intelligence applications should behave in various settings. One con...
Can we liberate and protect our digital usage? Or will a misguided attempt at policy response end up making it all the more confined?
When it comes to artificial intelligence, it is understandable that individual countries would strive to gain the upper hand and secure their spot in the data-oriented value chain of the ...
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...
