Publications: Gillian Diebold

Data-driven innovation has the potential to be a massive force for progress. Data sharing enables organizations to increase the utility and value of the data they control and gain access to additional data controlled by others.

Without policy change, the United States will continue trending toward data siloes—an inefficient world in which data is isolated, and its benefits are restricted.

Gillian Diebold appeared on Marketplace Tech to discuss how governments are addressing privacy in different ways while designing their policies around advancing their national interests.

Instead of duplicating any one approach, U.S. policymakers should borrow from the menu of options to craft a cohesive, pro-innovation data strategy.

The Department of Education released a report in May 2023 to guide policymakers at the federal, state, and district levels in creating education-focused AI policies. While the report makes several good recommendations for how to identify and prioritize AI applications in education, it falls short by misguidedly calling for human oversight for all these applications.

A national AI strategy is necessary to bolster U.S. competitiveness, strengthen national security, and maximize the societal benefits that the country could derive from AI.

While AI certainly needs careful scrutiny in some areas, in the case where it can clearly help children learn, its use should be a no-brainer.

Unlike the digital divide, many ignore the data divide or argue that the way to close it is to collect vastly less data. But without substantial efforts to increase data representation and access, certain individuals and communities will be left behind in an increasingly data-driven world.

China recently announced the creation of a new regulatory body to improve its use of data as a strategic economic resource. As part of ongoing efforts to promote China’s digital economy, the National Data Administration will work towards building smart cities, digitizing government services, and facilitating data-driven development. U.S. policymakers should learn from this example and strengthen their commitment to data-driven innovation and increase commercial access to data.

The Center for Data Innovation submits feedback on the European Commission’s consultation and call for evidence regarding the regulation on European statistics on population and housing. The feedback lists four positive aspects of the proposed regulation and provides a suggestion to further improve the regulation’s efforts to address the data divide.