Publications: Daniel Castro

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.

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.

While the Biden administration champions the need for private sector innovation to drive U.S. leadership in artificial intelligence, its Justice Department wants to put one of America’s top innovators—Google—on the chopping block.

On October 24, 2024, President Biden signed a National Security Memorandum governing the use of AI for national security. Overall, it demonstrates that the Biden administration takes the threat of the United States losing the global AI race seriously and recognizes the serious repercussions of falling behind for national security. It serves as a reminder to policymakers about what is at stake

The Center for Data Innovation submitted comments to the Federal Communications Commission (FCC) regarding the disclosure and transparency of AI-generated content in political advertisements.

Global trade relies heavily on trust, and the Internet amplifies trust challenges due to distance, anonymity, and the vast scale of interactions. To address these challenges, APEC economies should focus on developing socio-technical solutions, like digital IDs and content provenance tools, to improve trust in the digital environment and ensure the safety and security of the digital economy.

The draft DTI Law presents a promising framework for advancing Vietnam's digital technology sector. While it offers valuable steps forward in areas such as data accessibility, AI regulation, and industry support, there are several aspects that could benefit from refinement.

As AI continues to advance, the technology has created many opportunities and risks. Despite significant geopolitical differences, a series of interviews with AI experts in China and the United Kingdom reveals common AI safety priorities, shared understanding of the benefits and risks of open source AI, and agreement on the merits of closer collaboration—but also obstacles to closer partnerships.

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.

Over the last several years, public opinion on technology and the use of data has shifted from excitement to skepticism to fear.