Data Innovation
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As every sector of the global economy and nearly every facet of modern society undergo digital transformation, ITIF advocates for policies that spur not just the development of IT innovations, but more importantly their adoption and use throughout the economy. ITIF’s Center for Data Innovation formulates and promotes pragmatic public policies designed to maximize the benefits of data-driven innovation in the public and private sectors.
Featured
How Experts in China and the United Kingdom View AI Risks and Collaboration
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.
Digital Equity 2.0: How to Close the Data Divide
Unlike the digital divide, many ignore the data divide or argue that the way to close it is to collect vastly less data. But without substantial efforts to increase data representation and access, certain individuals and communities will be left behind in an increasingly data-driven world.
Closing the Data Divide for a More Equitable US Digital Economy
In the United States, access to many public and private services, including those in the financial, educational, and health care sectors, are intricately linked to data. But adequate data is not collected equitably from all Americans.
More Publications and Events
September 25, 2024|Blogs
Draghi’s Competitiveness Report Shows Why the EU Needs a Pro-Innovation Approach Towards AI
The EU should adopt a more flexible, innovation-driven approach to AI regulation to boost global competitiveness, according to the European Competitiveness Report by Mario Draghi.
September 24, 2024|Blogs, Blogs
Europe Should Tap Switzerland to Unlock LLM Innovation in the Continent
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.
September 18, 2024|Blogs
Why Watermarking Text Fails to Stop Misinformation and Plagiarism
The rise of generative AI tools, such as ChatGPT, has transformed text creation but also raises concerns about misuse, including plagiarism and misinformation. While some propose watermarking to label AI-generated content, this approach is technically flawed and ineffective, failing to address the root causes of these issues; instead, more comprehensive strategies are needed to combat misinformation and promote academic integrity.
September 17, 2024|Testimonies & Filings
Submission to the Multi-stakeholder Consultation ‘Future-Proof AI Act: Trustworthy General-Purpose AI’
The AIA came into law on 12th July 2024, triggering several actions by the AIO to ensure streamlined compliance with the new rules. The Center for Data Innovation puts forward six key recommendations to support AI innovation and adoption within the new framework.
September 17, 2024|Testimonies & Filings
Comments to the Department for Science, Innovation and Technology on the AI Opportunities Action Plan
AI presents a wealth of opportunity for the UK, not only as an economy boosting mechanism, but also as a tool for improving the lives of UK citizens. AI adoption is key to the Action Plan, and the government should take actions that can simultaneously support AI sector growth and AI adoption.
September 11, 2024|Blogs
AI Adoption Is Key to the UK’s AI Opportunities Action Plan
The UK's AI Opportunities Action Plan focuses on sector growth and adoption. The government should encourage lightweight models, invest in industry-academia partnerships, and establish sector centres to support AI uptake across industries.
September 6, 2024|Testimonies & Filings
Comments to AISI on Managing Misuse Risk for Dual-Use Foundation Models
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).
August 30, 2024|Testimonies & Filings
Comments to the FCC on AI-Generated Content in Political Ads
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.
August 23, 2024|Blogs
Labour Should Prioritize Spreading Innovation To Succeed Where the Conservatives Fell Short
Labour aims to revive the UK’s economy by focusing on spreading innovation across all sectors, addressing the nation's productivity challenges through practical measures. By building on existing projects and ensuring the adoption of new technologies, particularly in both high-tech and low-tech sectors, Labour can deliver visible results and drive meaningful growth across the country.
August 20, 2024|Presentations
How to Improve Trust in the Digital Economy
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.
