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There’s No One-Size-Fits-All Model for Digital Governance

Digital Governance
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It鈥檚 past time we regulate how the government collects, stores, and uses citizen data鈥攁nd a recent ruling by India鈥檚 Supreme Court, on the country鈥檚 digital ID system, may provide us with a blueprint for how to think through that process.

Aadhaar is the world鈥檚 largest biometric database, having collected the fingerprints and iris scans of more than a Undoubtedly, the program is doing lots of good, for instance, by helping to deliver things like banking and financial services to India鈥檚 poor and low-income citizens. (This includes streamlining government payments through direct transfers to beneficiaries.) However, the data Aadhaar collects can also be used in a range of capacities鈥攎any of which extend beyond public-service delivery.

Just a few weeks ago, the Indian Supreme Court parts of Aadhaar that allowed data-sharing with private companies. While the court that Aadhaar was constitutionally valid and didn鈥檛 fundamentally violate citizens鈥 rights, it did rule to curb the use of digital ID for purposes outside public-service delivery. The reason, at least in part, is that though industry has often touted the market benefits of employing digital ID to spur entrepreneurship and innovation, there are still unanswered policy questions about how, precisely, the public sector should regulate the use of this information. Perhaps reflecting the spirit of the times鈥攎ost obviously, the (GDPR) adopted earlier this year鈥攖he court that the national government needed to further clarify citizens鈥 rights via a new data-protection law.

Indeed, the world appears to be heading toward implementing more, not less, digital ID technology on the backend. Given that鈥攁nd given the fact that commercial sectors are increasingly vying to obtain and use citizen data鈥攊t鈥檚 in our best interest to figure out how to regulate this information both securely and efficiently.

There may not be a one-size-fits-all model, but there are some key questions we ought to be asking as more and more governments wrestle with the tension between privacy rights and service delivery.

But first: a few caveats. Even though digital-protection wrangling isn鈥檛 isolated to India, national context is key. Estonia鈥檚 鈥渆-Estonia鈥 program, for instance, is often lauded as a leader in , with 99 percent of government services available online and 30 percent of the population using i-voting. The New Yorker鈥檚 Nathaniel Heller it 鈥渢he most ambitious project in technological statecraft today, for it includes all members of the government, and alters citizens鈥 daily lives.鈥 Everything from education, justice, and healthcare to banking, taxes, and voting has been linked across one platform. However, size, scale, and homogeneity matter: Estonia is a country of 1.3 million people, half the country is forest land, and it has little history of intra-national ethnic division (more on that later).

Denmark is another fairly homogenous country, one with uniquely high Perhaps unsurprisingly, then, Denmark is also a in e-government services. Its five-year Digital Strategy has led to the creation of a digital ID system鈥斺淣emID鈥 鈥攚hich enables people to access a wide range of surveys, make bank transfers, and even acquire and set up private-sector services, such as making hair appointments.

But while Estonia and Denmark both illustrate how digital ID and government services can make society more efficient, they鈥檙e not always perfectly instructive for a large, heterogeneous country like the United States. The U.S. federal system, in particular, makes data-sharing and efficient data management across levels of government especially challenging. On top of that, the primacy of states鈥 rights and local governance, which are wired into the very foundation of American institutions, will likely make the move to e-government that much harder.

That said, it鈥檚 still crucial to learn what we can as we attempt to create a more generalizable human rights framework for e-services and digital ID programs. Indeed, while there may not be a one-size-fits-all model, there are some key questions we ought to be asking as more and more governments wrestle with the tension between privacy rights and service delivery.

The first question is internal to countries. Given countries鈥 unique structures and technical and institutional capacities, what changes are necessary to move toward more digital governance? One example comes from India, where the court ruling itself exposes how difficult鈥攁t times even contradictory鈥攔egulating data protection can be. Consider the fact that while the court鈥檚 decision prevents corporate entities from demanding an Aadhar card in exchange for goods or services, an Aadhaar number is required for filing income returns and applying for a permanent account number. Moreover, Aadhaar is a requirement for at least in India, even as several banks have denied services to customers with an Aadhaar card. This issue shines a light on the need to bring existing requirements in line with proposed regulations. So, to move this to the U.S., any system would have to bridge the variety of privacy regulations in each state with the identity requirements of a federal aid program.

Second, what are takeaways from current global-governance examples鈥擥DPR, Aadhaar, e-Estonia鈥攁nd how can they be applied elsewhere to ensure that civil society has a transparent and legitimate process for engagement? Above all, for any model to work and have a lasting impact, it must engage civil society, industry, and academia, with each sector bringing its own strengths to the conversation. Put it like this: Nothing should happen in silos, because the questions surrounding digital ID have implications across multiple interest groups. Together, these groups can help advance new research, share learning opportunities, and generate a broader network of knowledge to equip public leaders and the general public to regulate this emerging space.

And third, is it possible to genuinely empower civil society so that traditionally marginalized communities get a seat at the table before standards are set, and ensure broader democratic norms are followed? China offers a sterling example of what not to do. Its ranks the population on a host of issues: posting fake news, buying too many video games, bad driving. The of the resulting score are only just beginning to unfold, but they may include banning people from flying or train travel, throttling Internet speed, preventing people from attending certain schools, and even publicly labeling people 鈥渂ad citizens.鈥 What鈥檚 truly horrifying, however, is that this system specifically targets marginalized communities, like the Uyghur and Tibetans, reinforcing China鈥檚 already deeply corrosive social hierarchy.

It鈥檚 too soon to say for certain how to regulate citizen data. That鈥檚 partly because there鈥檚 no agreed-upon set of values or technical considerations to guide this work. Even so, it鈥檚 clear that the first movers in this rapidly growing space, including India and the European Union, will play a large role in shaping the global conversation on whatever principles and guidelines we develop. There鈥檚 no one-size-fits-all model to show us the way forward, true, but that鈥檚 beside the much larger point: that there are examples of what鈥檚 working and what鈥檚 not鈥攊f we care to learn from them.

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There’s No One-Size-Fits-All Model for Digital Governance