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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. In the area of artificial intelligence, ITIF studies issues related to competitiveness, governance, ethics, development, and adoption.
Ten Principles for Regulation That Does Not Harm AI Innovation
Concerns about artificial intelligence have prompted policymakers to propose a variety of laws and regulations to create “responsible AI.” Unfortunately, many proposals would likely harm AI innovation because few have considered what “responsible regulation of AI” entails.
US AI Policy Report Card
More Publications and Events
September 26, 2023|Blogs
The Federal Government Is Falling Behind on AI Skills, But Here Is How It Can Catch Up
As the U.S. government seeks to accelerate its adoption of AI, federal agencies should fully evaluate AI literacy and skills in their respective workforces so that they can address critical skills gaps before falling even further behind in AI adoption.
September 21, 2023|Presentations
FP Tech Forum @ UNGA78
Hodan Omaar speaks at Foreign Policy's FP Tech Forum during the 78th annual UN General Assembly. She joins an expert panel to explore how technologies are shaping geopolitics and development around the world.
September 21, 2023|Presentations
2023 Florida Tech & Innovation Summit
Juan Londoño speaks about how artificial intelligence, augmented reality, and virtual reality are fundamentally changing the way humans interact with technology and one another at a conference hosted by the James Madison Institute.
September 13, 2023|Features
A Global Declaration on Free and Open AI
ITIF and a global network of think tanks call on governments around the world to commit to a clear set of principles to ensure generative AI tools serve democratic ideals and promote global progress.
September 12, 2023|Testimonies & Filings
Comments to the Senate Subcommittee on Consumer Protection, Product Safety and Data Security on “The Need for Transparency in AI”
The biggest risk to consumers is that the myriad opportunities AI offers will not be translated into all the areas where they can make a positive difference in people’s lives.
September 11, 2023|Podcasts
Podcast: ‘Regulation by Outrage’ Is a Detriment to Emerging Technologies, With Patrick Grady
Policy regarding new technologies can be reactionary, confused, and focused on the wrong things.
September 11, 2023|Blogs
The FTC Should Not Treat OpenAI Like Public Enemy No. 1
The FTC's recent investigation into OpenAI, prompted by a minor data breach and a defamation lawsuit, seems driven by anti-tech ideology rather than a measured understanding of the evidence.
September 7, 2023|Presentations
Unveiling AI Policy Insights: Global Trends and Regulatory Strategies
Daniel Castro speaks about global trends in AI regulation in the United States, Europe, and Asia at a webinar hosted by FiscalNote.
September 1, 2023|Blogs
In the Wake of Generative AI, Industry-Led Standards for Data Scraping Are a Must
Significant public concerns about AI have raised the risk that Congress might step in and pass anti-scraping legislation. But a legislative intervention would be a mistake, especially given that the private sector has previously resolved a similar issue through voluntary measures.
August 29, 2023|Presentations
Data as the Foundation: Privacy, Policy, and Artificial Intelligence
Gillian Diebold speaks about the data divide and government readiness for AI at a webinar hosted by the Data Foundation as part of their series, "Data-Driven Governance: Exploring the Federal Government's AI Landscape."