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.

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.

In response to a request for information from the Office of Science and Technology (OSTP) on the steps OSTP can take to ensure a data ecosystem that supports a strong bioeconomy in the United States, the Center for Data Innovation offers four recommendations.

In today’s digital economy, one significant barrier to opportunity is the data divide, the gaps between the data haves and the data have-nots, and the social and economic inequalities resulting from this lack of data collection and use. Closing the data divide needs to be a policy priority.

Data has become invaluable in today’s economy. The extent to which individuals and communities can collect and put it to productive use helps determine everything from health outcomes to public safety and economic growth.

Gillian Diebold speaks about the data divide and government readiness for AI at a webinar hosted by the Data Foundation as part of their series, "Data-Driven Governance: Exploring the Federal Government's AI Landscape."

Gillian Diebold and Hodan Omaar speak about artificial intelligence and how it will impact different sectors of society at a webinar hosted by the Internet Law & Policy Foundry.

Watch the ITIF Center for Data Innovation event for a discussion about AI, jobs, and digital development in the Global South.

Gillian Diebold and Ashley Johnson moderate discussions about AI and education and children’s privacy concerns with emerging technology at the Children’s Advertising Review Unit (CARU) Annual Conference, hosted by BBB National Programs.

Gillian Diebold speaks about the current policy landscape and pressing issues in the AI and data space at a webinar hosted by the Civil 20 Working Group on Technology, Security, and Transparency.

Watch ITIF's Center for Data Innovation's discussion about the promises and pitfalls of generative AI in the classroom and the ways policymakers can support educators while allowing this new technology to prosper.

Gillian Diebold speaks about the data divide at a policy roundtable.

Gillian Diebold speaks about maximizing the impact of data at an Asia-Pacific Economic Cooperation (APEC) senior officials meeting.

Gillian Diebold speaks about artificial intelligence and K-12 education at a webinar hosted by Landing Zone, a project under InnovateEDU.

Watch ITIF's Center for Data Innovation's panel discussion about the impact of the data divide on critical global policy challenges and the ways reducing these disparities might help drive global data-driven innovation and prosperity.

Gillian Diebold, policy analyst at the Center for Data Innovation discussed the topics and coverage of the "How Can the United States Address the Data Divide?" webinar and the conclusions and suggestions made by the various speakers.

Watch the Center for Data Innovation's engaging panel discussion about the importance of the data divide, the impact it can have on individuals and society, and steps policymakers can take to address data disparities to ensure equitable participation and representation in the data economy and promote overall data-driven innovation.