Watch now for a timely discussion by The Center for Data Innovation and The Asia Group on how AI governance is unfolding globally, the key tensions shaping global regulations, and what these developments mean in the United States, the Indo-Pacific, and beyond.

Watch now for a Capitol Hill event covering an in-depth survey by ITIF’s Center for Data Innovation and Public First 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.

Watch now 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.

Mandatory labeling for AI-generated content, particularly through watermarking, is neither a reasonable nor effective solution to the issues policymakers seek to address. Rather than singling out AI-generated content, policymakers should prioritize building trust within the digital ecosystem as a whole.

The UK’s new Data (Use and Access) Bill aims to enable AI and data-driven services, reviving parts of the previous DPDI Bill. To seize post-EU opportunities, it should adopt provisions tightening personal data definitions and aligning government-ICO priorities.

The UK stands at a critical moment when embracing digital transformation, AI, and data innovation is not just an opportunity but also a necessity. By implementing forward-thinking policies, the UK can not only drive economic growth but also position itself as a global leader in emerging technologies.

Jason M. Allen, an artist whose AI-generated image won a digital art competition prize in 2022, recently sued the U.S. Copyright Office for rejecting his application for copyright of the image. In its refusal to grant copyright protection to Allen’s work—which he created using 624 prompts on the generative AI platform Midjourney—the Copyright Office argued that the artist’s creative process to generate the award-winning image did not meet the criteria for “human authorship as we understand it.”

Thousands of creators signed a statement opposing AI's unlicensed use of creative works, calling it a threat to livelihoods. But this overlooks that AI training uses public data within established norms, creators resist adapting to change, and copyright already protects against unauthorised use.

If President-elect Trump wants AI to be a meaningful part of his legacy, he’ll need to focus on delivering the promise of his 2019 initiative, which pledged “AI for the American people.” That will require a clear agenda to accelerate adoption, prioritize innovation, and ensure the diffusion of AI’s benefits across the entire country.

California often sets the tone for national policy, but the recently passed AI Transparency Act (SB 942) is an example of what not to do.