Data Innovation

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.”

Hodan Omaar speaks about the economic potential of AI in the United States at a panel discussion hosted by Microsoft.

Daniel Castro speaks at a webinar on the national and international policies shaping data management and use hosted by EMPOWER, a research programme sponsored by Science Foundation Ireland.

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.

Federal Trade Commission (FTC) Chair Lina Khan is once again stoking unsubstantiated fears about algorithmic pricing—the practice of using algorithms to offer customers different prices based on dynamic market conditions—but this time, her examples are even more outlandish.