Center for Data Innovation

Data is becoming an essential part of various projects aimed at improving our world, from developing advanced health care systems to designing eco-friendly cities. In the next few years, gathering and analyzing large volumes of data could lead to significant social and economic progress. However, to take full advantage of these opportunities, it is important to have public policies that support and promote data-driven innovations.

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Europe’s GDPR Fines Against US Firms Are Unfair and Disproportionate

1 week ago | datainnovation.org | Daniel Castro

One of the key principles of President Trump’s “America First” trade policy is to inject reciprocity into trade practices with partner nations. In other words, the United States should treat other countries the way they treat the United States. However, this policy requires looking beyond top-line tariff rates, as many countries use non-tariff barriers to penalize U.S. companies—especially in the digital economy.
AI Is Key to Trump’s Education Overhaul

1 month ago | datainnovation.org | Daniel Castro

Education Secretary Linda McMahon delivered a speech on March 3 outlining the U.S. Department of Education’s “final mission”: To swiftly and responsibly implement President Trump’s controversial vision of shutting down the department.
Reevaluating US AI Strategy Against China

2 months ago | datainnovation.org | Daniel Castro

A key priority for the U.S. government is to restrict the Chinese military from accessing cutting-edge artificial intelligence (AI) technology to maintain technological superiority and protect national security. The Biden administration sought to achieve this goal by imposing export restrictions on advanced semiconductors and AI models.
California’s AI Transparency Law Is a Misstep Other States Should Avoid

Nov 4, 2024 | datainnovation.org | Hodan Omaar

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. Despite its well-intentioned aim to address harmful AI-generated content, the law misunderstands both the mechanics of AI and how people respond to deceptive media. Instead of offering practical solutions, this law imposes impractical burdens on users and providers, stifles innovation, and falls far short of its promises.
Draghi’s Competitiveness Report Shows Why the EU Needs a Pro-Innovation Approach Towards AI

Sep 25, 2024 | datainnovation.org | Justyna Lisinska

The European Union should embrace a more flexible, innovation-driven approach to AI regulation to become more competitive globally. On 9 September 2024, the European Commission released the European Competitiveness Report, written by Mario Draghi, former Italian Prime Minister and ex-European Central Bank President.
Europe Should Tap Switzerland To Unlock LLM Innovation in the Continent

Sep 23, 2024 | datainnovation.org | Hodan Omaar

As the United States commands the field with English-language large language models (LLMs) and China climbs the ranks to secure the lead in models for Chinese-language tasks, Europe is barely in the game when it comes to mastering models for its own languages. Of the top open-source multilingual models designed to handle non-English European languages, hardly any are from European companies.
Why Watermarking Text Fails to Stop Misinformation and Plagiarism

Sep 18, 2024 | datainnovation.org | Justyna Lisinska

The rise of generative AI, with tools like ChatGPT, has revolutionized how people create text. These tools can produce content that closely resembles human writing, allowing users to quickly draft fictional stories, news articles, meeting summaries, and personal essays. However, people can misuse the technology for harmful purposes, such as plagiarising works and generating fake news.
Comments to AISI on Managing Misuse Risk for Dual-Use Foundation Models

Sep 6, 2024 | datainnovation.org | Hodan Omaar

The Center for Data Innovation submitted comments to the U.S. Artificial Intelligence Safety Institute (AISI) on its draft guidelines, Managing Misuse Risk for Dual-Use Foundation Models (NIST AI 800-1). We commend AISI for its proactive best practices to prevent misuse of foundation models but recommend four improvements:Differentiate between predictable risks (e.g., drug development) and context-dependent risks (e.g., AI chatbots).
Comments to the FCC on AI-Generated Content in Political Ads

Aug 30, 2024 | datainnovation.org | Daniel Castro

The Center submitted comments to the Federal Communications Commission (FCC) regarding disclosure and transparency of AI-generated content in political advertisements. The FCC is proposing to require all broadcasters to provide an on-air announcement disclosing the use of AI-generated content in political ads.
Comments to the Ministry of Information and Communications on Vietnam’s Digital Technology Industry Draft Law

Aug 16, 2024 | datainnovation.org | Daniel Castro

The Center for Data Innovation submitted these comments to the Ministry of Information and Communications on Vietnam’s draft Law on Digital Technology Industry (DTI). Overall, the draft DTI law provides a welcome policy framework for supporting Vietnam’s development and adoption of key technologies, including semiconductors, cloud computing, the Internet of Things, blockchain, augmented and virtual reality (AR/VR), and artificial intelligence (AI). Read the comments.