WASHINGTON—In response to the National Telecommunications and Information Administration (NTIA) releasing a report on promoting AI accountability, the Center for Data Innovation issued the following statement from Senior Policy Manager Hodan Omaar:

NTIA’s report on AI accountability is a mixed bag. It tells U.S. policymakers to do three things—provide guidance, support, and regulations on AI. The first two are useful for improving accountability. Organizations need guidance on things like what information to disclose about their AI systems and how, and regulators need support in the form of tools and data to better evaluate systems. But the report’s focus on regulatory frameworks for AI will not help the United States become a leading global adopter of AI. The United States should pursue policies that encourage U.S. businesses to hire more AI developers, integrators, and engineers, not divert those resources to hiring more auditors and lawyers. Policymakers should instead rely on voluntary frameworks because they are more adaptable, dynamic, and effective at addressing risks in a rapidly evolving AI landscape.

The Information Technology and Innovation Foundation (ITIF) is an independent, nonprofit, nonpartisan research and educational institute focusing on the intersection of technological innovation and public policy. Recognized by its peers in the think tank community as the global center of excellence for science and technology policy, ITIF’s mission is to formulate and promote policy solutions that accelerate innovation and boost productivity to spur growth, opportunity, and progress.