Join ITIF's Center for Data Innovation for a panel discussion exploring how threats from AI voice cloning are likely to develop, what countermeasures exist, and actionable steps policymakers can take to address both national and international threats.

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.

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.

Watch ITIF's Center for Data Innovation's webinar discussing the challenges inhibiting drone use in package delivery, where the drone tech and regulations affecting the tech are heading, and how policymakers can support safe drone operations.

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

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.

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.

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.

A landmark ruling in 2015 made it harder for artists and record labels to determine where permissible influence and interpolation become impermissible appropriation and plagiarism. Congress should make things more consistent, accurate, and fair by directing the Copyright Office to launch a competition for the private sector to come up with an AI-enabled tool to compare how similar a musical composition or recording is to existing copyright-protected works.

Congress should charge the newly created AI Safety Institute housed at NIST with creating a national AI incident database and a national AI vulnerability database.

U.S. policymakers should learn lessons from past debates about dual-use technologies, such as encryption, and refrain from imposing restrictions on foundation models with widely available model weights (i.e. “open models”) because such policies would not only be ultimately ineffective at addressing risk, but they would slow innovation, reduce competition, and decrease U.S. competitiveness.