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.

The U.S. Surgeon General Dr. Vivek Murthy published a New York Times op-ed arguing that social media poses such a threat to children’s mental health that these platforms should come with a warning label like cigarettes and alcohol. However, his argument is flawed on multiple levels: There is no scientific consensus that social media is causing mental health issues among youth; social media use among youth does not present a similar level of risk as tobacco and alcohol use; and the alleged risks of social media come from interaction with specific types of content, not from the platforms themselves.

The next administration needs to place innovation, productivity, and competitiveness at the core of its economic policy. To that end, this report offers a comprehensive techno-economic agenda with 82 actionable policy recommendations.

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.

Daniel Castro speaks about the impact of emerging technologies on national security and the economy at the Margalla Dialogue in Islamabad, hosted by the Islamabad Policy Research Institute (IPRI).

Daniel Castro presents on the impact of AI on cybersecurity at an event hosted by Dar America in Casablanca.

Daniel Castro speaks about policies around the use of AI in the U.S. education system at a conference hosted by the Digital Development Agency (ADD) in Morocco.

Daniel Castro speaks about how to address cybersecurity risks from AI at a talk hosted by the School of Information Sciences (ESI) in Rabat, Morocco.

Daniel Castro presents about the safe and responsible use of AI in education at the conference "Bridging the Skills Gap: AI Solutions for Zimbabwe's Education to Workforce Pipeline."

Daniel Castro moderates a panel about IT modernization in the defense and intelligence communities at the 8th Annual Intel IT Modernization Summit hosted by the Defense Strategies Institute.

Daniel Castro speaks about AI's impact on electricity consumption at the Capital Goods Virtual Conference 2024.

Watch now for the fourth annual AR/VR Policy Conference presented by Information Technology and Innovation Foundation (ITIF) and the XR Association.

Daniel Castro speaks about how policymakers can maximize the opportunities associated with AI at the 9th Congresso Empresarial Colombiano in Medellin, Colombia.

Daniel Castro speaks about AI governance and ethics at the IndabaX 2024 Zimbabwe AI Symposium hosted by the Harare Institute of Technology and the U.S. Embassy in Zimbabwe.

Daniel Castro speaks on a panel at the Digital Trade Policy Dialogue. This panel was part of the Asia-Pacific Economic Cooperation’s (APEC's) Third Senior Officials’ Meetings (SOM 3) in Lima, Peru.