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.

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.

Europe's evolving political landscape, marked by recent elections and changing priorities, has significant implications for AI policy. While EU policymakers focus on defense, security, and economic growth, integrating AI could bolster these efforts.

In response to the King’s Speech, which outlines UK Prime Minister Keir Starmer’s legislative agenda under the new Labour government, the Center for Data Innovation released the following statement from Policy Analysts Ayesha Bhatti and Justyna Lisinska.

A nationally representative survey of more than 2,000 adults in the UK, conducted by Public First in partnership with the Center for Data Innovation to track how public attitudes and perceptions of artificial intelligence.

The AI Act requires providers of AI systems to mark their output as AI-generated content. This labelling requirement is meant to allow users to detect when they are interacting with content generated by AI systems to address concerns like deepfakes and misinformation. Unfortunately, implementing one of the AI Act’s suggested methods for meeting this requirement — watermarking — may not be feasible or effective for some types of media.

With the AI Act set to take effect soon, the focus now shifts to implementing this complex legislation. Central to this effort is establishing the AI Office, mandated to coordinate the Act's application, conduct AI safety research, develop Codes of Practice, and address compliance issues. However, there are concerns that bureaucratic challenges could hinder the Office, potentially stalling European AI innovation.

The Irish Data Protection Authority (DPA) requested Meta pause its plans to train AI on public posts from its users last week. This request, instigated by complaints and pushback from the advocacy group NOYB (“none of your business”), is a shortsighted move that threatens to stifle innovation in developing AI systems.

State product liability laws traditionally hold manufacturers, distributors, and sellers strictly liable for defective products they bring to market. As consumers increasingly make purchases from online marketplaces—platforms that aggregate products from multiple third-party sellers—new questions arise about how to best protect them from defective products that pose a risk to health and safety.