Artificial Intelligence
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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.
Featured
Picking the Right Policy Solutions for AI Concerns
Some concerns are legitimate, but others are not. Some require immediate regulatory responses, but many do not. And a few require regulations addressing AI specifically, but most do not.
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
The 117th Congress was the most AI-focused congressional session in history with 130 AI bills proposed, so it is a good moment to take stock of U.S. AI policy accomplishments to date and identify areas where there is room for continued progress.
More Publications and Events
November 21, 2024|Events
How Policymakers Should Navigate Tensions in Global AI Governance
Join ITIF’s Center for Data Innovation and The Asia Group for a timely and in-depth panel discussion on how AI governance is unfolding globally, the key tensions shaping global regulations, and what these developments mean in the United States, the Indo-Pacific, and beyond.
November 21, 2024|Presentations
From Data Policy to Practice: Bridging the Gap
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.
November 18, 2024|Blogs
Policymakers Should Further Study the Benefits and Risks of AI Companions
Given the uncertainties surrounding the emotional and social impact of AI companions—both positive and negative—policymakers should prioritize funding research on how users interact with chatbots. This approach would ensure that any interventions or improvements are grounded in scientific evidence, rather than rushed regulation.
November 15, 2024|Reports & Briefings
Harnessing AI to Accelerate Innovation in the Biopharmaceutical Industry
AI has the potential to transform drug development by enhancing productivity across the entire development pipeline, boosting biopharmaceutical innovation, accelerating the delivery of new therapies, and fostering competition to help improve public health outcomes.
November 12, 2024|Blogs
For Trump, Delivering for Voters Means Delivering on AI
If President-elect Trump wants AI to be a meaningful part of his legacy, he’ll need to focus on delivering the promise of his 2019 initiative, which pledged “AI for the American people.” That will require a clear agenda to accelerate adoption, prioritize innovation, and ensure the diffusion of AI’s benefits across the entire country.
November 4, 2024|Blogs
California’s AI Transparency Law Is a Misstep Other States Should Avoid
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.
October 30, 2024|Presentations
The Impact of AI on Cybersecurity
Daniel Castro presents on the impact of AI on cybersecurity at an event hosted by Dar America in Casablanca.
October 29, 2024|Presentations
Artificial Intelligence in Education
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.
October 28, 2024|Presentations
Enhancing Cybersecurity with AI
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.
October 28, 2024|Blogs
Breaking Up Google? So Much for a Whole-of-Government Approach to US AI Leadership
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.
