Dr Mark Esposito is a Professor of Business and Economics at Hult International Business School and at Harvard University’s Division of Continuing Education. He also works as Professor of Economic Policy at the Mohammed Bin Rashid School of Government in Dubai. His areas of specialization include economics, strategy, foresights, and management of technology. He is recognized internationally as a global thought leader in matters relating to the Fourth Industrial Revolution, and the changes and opportunities that technology will bring to a variety of industries.
Esposito is Co-Founder & Chief Learning Officer at Nexus FrontierTech, an AI scale-up venture. In 2021, he co-founded the Circular Economy Alliance where he serves as Chairman of the Strategic Foresight Board. He is a Senior Advisor to the Ideation Center of Strategy& at PwC in Dubai, and a Distinguished Fellow in the UNESCO Chair in Future Literacy of Finance. He is a global expert of the World Economic Forum, an advisor to national governments, and currently serves as Subject Matter Expert for the Prime Minister's Office in the UAE. He equally serves as advisor to Cambrian Futures, a Geotech advisory firm.
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.
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.
