SHI YU/CHINA DAILY Pandemic lockdowns, digitalization and the acceleration of the Fourth Industrial Revolution are all driving a shift in global governance. Since the world’s technological leaders will also be geopolitical leaders, the competition for dominance in cutting-edge sectors such as artificial intelligence (AI) is intensifying. The Fourth Industrial Revolution technology race will be the primary factor influencing global economic and political arrangements in the post-pandemic era.
Although the United States remains the top AI power, it is closely followed by China, and then by other players such as Russia. For its part, China has already invested about $300 billion in the field (including chips and electric cars), adopted a national innovation strategy (Made in China 2025), and facilitated the rise of pioneering tech giants such as Baidu, Alibaba and Tencent. But while China has massive potential for AI development, it also has a lot of work to do before it can surpass the US. Studies show China still lags on three key fronts: hardware, research and the commercial sector.
Many pursuing Fourth Industrial Revolution
Beyond the US and China, European and Asian countries are also pursuing Fourth Industrial Revolution innovation. The United Kingdom, for example, is in the top quartile of countries in terms of AI readiness, owing to its top-tier research universities and generous public research funding.
Similarly, many Asian countries have demonstrated an obvious advantage in terms of technological diffusion and robot density. With 774 robots per 10,000 workers, the Republic of Korea is far ahead of most other countries. And Japan, with its already dominant automobile industry, has begun to establish itself as a leader in autonomous vehicles.
Against this backdrop, the COVID-19 pandemic has accelerated trends toward digitalization, with an array of Fourth Industrial Revolution technologies being adopted to track, trace, forecast, diagnose and contain the novel coronavirus, in addition to enabling remote work, e-commerce, and other behavioral shifts.
And since then, AI and machine learning have been used to track and gauge the evolution of the pandemic, identify high-risk patients, and optimize resource usage.
Moreover, scholars are using AI to detect new COVID-19 outbreaks and to drive the research for effective treatments or a vaccine. But this work points to the need for more regulatory clarity at the global level. To avoid zero-sum “vaccine nationalism”, we need better processes for cross-border sharing of data and technological solutions, so that no one is left behind.
The recent dynamism in healthcare is emblematic of Fourth Industrial Revolution geopolitics more broadly. Plenty of attention has been devoted to the escalating Sino-American rivalry since the start of the COVID-19 crisis. Less noticed is the opportunity for developing countries to use the crisis as an impetus to expand their adoption of Fourth Industrial Revolution technologies.
African pupils get study materials thanks to AI
In Africa, for example, an AI-powered SMS platform has been used to deliver educational content to out-of-school children who lack internet access, smartphones, or even textbooks. Such innovations will become even more important the longer schools remain closed. Similarly, retailers and consumers are increasingly relying on e-commerce and mobile money to maintain social distancing and preserve supply chains. And in agriculture, more farmers are using information from big data platforms, augmented by the internet of things, to guide their decision-making.
But fully capitalizing on these opportunities will require more coordination between the public and private sectors and with multilateral institutions. By its very nature, the Fourth Industrial Revolution competition tempts countries to use their economic power to shape global standards. In a data-driven age, how leading governments define their approaches to regulation, including key issues like individual privacy, will affect the global economic order in the years ahead.
This dynamic is already evident in how different countries have managed the use of AI-driven facial-recognition and digital contact-tracing tools during the pandemic. In China and the ROK, these technologies were widely adopted early on, and have (so far) proven effective in limiting the spread of the virus, but at the expense of individual privacy.
US still to have clear rules on data security
By contrast, the US has been unable to rely on these tools, partly because it is yet to adopt clear rules and standards for consumer privacy, data security and digital ownership in the Fourth Industrial Revolution. While some US states have proposed some regulatory frameworks, the lack of a national system remains a big obstacle to capitalizing on the potential of AI and big data.
The competition between the US and China has pushed national security and commercial priorities to the top of the agenda, turning basic governance questions into much larger geopolitical issues. But a global tech industry cannot be governed effectively in the absence of a global consensus. There simply is no such thing as an effective nationalist－let alone isolationist－strategy for regulating data privacy. As we have seen with the European Union General Data Protection Regulation, the lack of coordination among national-level authorities has resulted in deeply flawed, inefficient implementation, preventing investigations of potential violations, eroding competition, and undermining consumer and business confidence.
The COVID-19 crisis is a historic opportunity to define the future of international cooperation. The question of how to regulate and use new technologies will not be restricted to any one industry or country. The benefits of cooperation in the Fourth Industrial Revolution－starting with collaboration on developing and using a vaccine－could be far-reaching. But reaping them will require a broad-based, good faith search for common ground.
Landry Signé, a professor at and co-director of Arizona State University’s Thunderbird School of Global Management, is a senior fellow at the Brookings Institution and a distinguished fellow at Stanford University. Mark Esposito, a professor of Business and Economics with appointments at Hult International Business School and Harvard University, is a co-founder of Nexus FrontierTech and a fellow at the Mohammed Bin Rashid School of Government in Dubai and Judge Business School in Cambridge. And Sanjeev Khagram is dean and director-general of Arizona State University’s Thunderbird School of Global Management.
The views don’t necessarily reflect those of China Daily.
LINK ORIGINAL: Chinadaily