Data Innovation

Join ITIF’s Center for Data Innovation and Public First for the release of an in-depth survey about what of Americans thinks about AI, how these views have shifted over the past year, and the implications of these beliefs for businesses, policymakers, and society at large.

Technologies and tech companies are accused of creating a myriad of societal problems. This book exposes them as mostly myths, falsehoods, and exaggerations.

The about-face the scientific, academic, and tech communities have made on the risks of large language models (LLMs) creating biothreats should serve as a stark reminder for policymakers about the pitfalls of premature regulation.

OMB should support the development of voluntary standard terms for AI contracts to make procurement more efficient and expand access to federal contracts to as diverse and large a pool of vendors as possible so federal agencies can access the best systems.

Digital literacy is now a necessary skill on par with the ability to read or write. Yet, we have no clear system of measuring this type of literacy rate or comprehensive dataset that tells us where the U.S. population stands. Instead, there’s a piecemeal landscape of measuring digital literacy. Studies often cover members of particular groups rather than the population at large, and without a consensus on the measurement of universal digital literacy rates, we have no clear way of taking a data-driven approach to the problem—which is necessary if we want to solve it.

As demographic change and aging populations in many Western countries entail higher relative health-care burdens, AI’s support in diagnosis, drug development, and health-care operations may serve as a much-needed remedy.

This legislation lays out a proactive agenda to foster responsible AI development and deployment in the United States.

Watch now for a panel discussion to explore the current landscape of AI applications in transitioning to a greener economy, identify key areas ripe for further exploration, and discuss actionable policy measures to foster innovation and adoption.

At the start of its digital transformation, Estonia had a GDP per capita of $3,134. By 2022, it was $28,247—an increase of more than 800 percent in less than 30 years. Its journey holds lessons for the EU.

Watch now for a panel discussion exploring the hurdles impeding the widespread adoption of AI in the public sector and examining actionable steps to empower and facilitate the sector in harnessing the benefits of this cutting-edge technology.