Editor’s Note: This article has been edited from its original version. It was originally published in its entirety in the International Monetary Fund’s Spring 2021 issue of Finance & Development magazine. Yan Carrière-Swallow is an economist in the IMF’s Strategy, Policy and Review Department. Vikram Haksar is an assistant director in the IMF’s Monetary and Capital Markets Department. The opinions expressed in this commentary are their own.
Humanity has never been so comprehensively recorded. Smartwatches capture our pulse in real time for a distant artificial intelligence (AI) to ponder the risks of heart disease. Bluetooth and GPS keep track of whether some of us shop at gourmet stores and linger in the candy aisle. Our likes and browsing hours on social media are harvested to predict our credit risk. Our search queries on shopping platforms are run through natural language processors to generate uniquely targeted ads whose unseen tethers subtly remold our tastes and habits.
The generation and collection of data on individual human beings has become a big part of the modern economy. And it generates enormous value. Big data and AI analytics are used in productivity-enhancing research and development. They can strengthen financial inclusion.
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During the pandemic, data on real-time movements of entire populations have informed policymakers about the impact of lockdowns. Contact tracing apps have notified individuals who have been in potentially dangerous proximity to people infected with Covid-19.
But just as data have helped us monitor, adapt and respond to Covid-19, the pandemic has brought into focus two fundamental problems with how information flows in the global economy. First, the data economy is opaque and doesn’t always respect individual privacy. Second, data are kept in private silos, reducing its value as a public good to society.
How to use data responsibly
The data generated by our smart devices are essentially a private good held by Big Tech companies that dominate social media, online sales and search tools. Given how valuable these data are, it is not surprising that companies tend to keep them to themselves. As more data beget better analysis, which in turn attracts more usage, more data and more profits, these swollen data war chests fortify their platform networks and potentially stifle competition.
This “finders keepers” model tends to lead to too much data being collected, but the data are also insufficiently utilized exactly when they could be most helpful, kept in private silos while public needs remain unmet.
Data sharing can support the development of new technologies, including in the life sciences. Consider how epidemiological research can benefit from scaling up big data analytics. A single researcher analyzing the experience of patients in their home country may be a good start, but it cannot rival the work of many researchers working together and drawing on the experience of many more patients from around the world — the key to the success of a number of cross-border collaborations.
How can data be made more of a public good? Commercial interests and incentives for innovation must be balanced with the need to build public trust through protection of privacy and integrity.
Clarifying the rules of the data economy is a good place to start. Significant advances have resulted, for example, from the 2018 implementation in Europe of the General Data Protection Regulation (GDPR), which clarified a number of rights and obligations governing the data economy.
EU residents now have the right to access their data and to limit how it is processed, and these rights are being enforced with increasingly heavy fines. But even as researchers have started to see the impact of the GDPR on the digital economy, there are still concerns about how to operationalize these rights and keep them from being simply a box-checking exercise.
People should have more agency over their individual data. There could be a case to consider the creation of public data utilities — perhaps as an outgrowth of credit registries — that could balance public needs with individual rights. Imagine an independent agency tasked with collecting and anonymizing certain classes of individual data, which could then be made available for analysis, subject to the consent of interested parties. Uses could include contact tracing to fight pandemics, better macroeconomic forecasting and combating money laundering and terrorism financing.
Policies can also help consumers avoid becoming hostage within individual ecosystems, thus contributing to market contestability and competition. The European Union’s late-2020 proposals for the Digital Markets Act and the Digital Services Act have many new features. These include third-party interoperability requirements for Big Tech “gatekeepers” — including social media and online marketplaces — in certain situations and efforts to make it easier for their customers to port their data to different platforms.
Policies also have a role to play in keeping data secure from cyberattacks. An individual company does not fully internalize the harm to public trust in the entire system when its customers’ data are breached and may thus invest less in cybersecurity than what would be in the public interest.
Many countries have been developing policies aimed at a clearer, fairer and more dynamic data economy. But they are taking different approaches, risking greater fragmentation of the global digital economy.
These risks arise in many data-intensive sectors, ranging from trade in goods to cross-border financial flows. In the context of the pandemic, differing privacy protection standards make it harder to collaborate on crucial medical research across borders — true even before the pandemic — because of the difficulty of sharing individual results of biomedical trials.
Global coordination is always a challenge, especially in an area as complex as data policy, where there is a multitude of interests and regulators even within individual countries, let alone across borders. Dealing with the fallout of the pandemic has spurred a new opportunity to ask hard questions about the need for common minimum global principles for sharing data internationally while protecting individual rights and national security prerogatives.
The current moment also affords an opportunity to explore innovative technological solutions. Consider whether jump-starting the recovery in international travel could be facilitated by a global vaccine registry. This could leverage old-fashioned paper-based international health cards but would call for development of standards and an interoperable data management system for reporting and consulting on people’s vaccination status — potentially linked to digital identity — as well as agreements on protection of individual privacy and barriers to access for other purposes.
There is a strong case for international cooperation to ensure that the benefits of the global data economy can build a more resilient, healthier and fairer global society. To find a way forward together, we can start by asking the right questions.