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Artificial Intelligence

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.

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Picking the Right Policy Solutions for AI Concerns

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

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

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

July 25, 2024|Blogs

Four AI Priorities for the EU’s New Political Leaders

Europe's evolving political landscape, marked by recent elections and changing priorities, has significant implications for AI policy. While EU policymakers focus on defense, security, and economic growth, integrating AI could bolster these efforts.

July 23, 2024|Press Releases

Competition Regulators Should Exercise Caution Against Speculative Concerns About AI as Innovation Stakes Rise, Says ITIF

Following the joint statement issued by top competition regulators about competition in AI, ITIF released the following statement from Vice President Daniel Castro.

July 17, 2024|Press Releases

King's Speech Outlines Strong Growth, Data, and Cyber Plans, but Unclear if Labour Can Strike the Right Balance on Innovation

In response to the King’s Speech, which outlines UK Prime Minister Keir Starmer’s legislative agenda under the new Labour government, the Center for Data Innovation released the following statement from Policy Analysts Ayesha Bhatti and Justyna Lisinska.

July 17, 2024|Events

How Can Canadian Policymakers Improve the Artificial Intelligence and Data Act?

Watch now for an engaging discussion with leading international experts and peers presented by ITIF’s Centre for Canadian Innovation and Competitiveness.

July 15, 2024|Blogs

Policymakers Should Focus on Turning AI Aspirations into Reality

The recent White House-sponsored conference on AI Aspirations earlier this month provided an optimistic vision for how AI could drive progress in various sectors. The breadth of the topics covered at the conference demonstrated the potential for the public sector to address important societal challenges using AI. With growing awareness of the potential benefits of AI, it is time for the federal government to create a national AI adoption strategy to accelerate its deployment.

July 15, 2024|Testimonies & Filings

Comments to the US Department of Justice Antitrust Division Regarding Promoting Competition in AI

The AI industry is highly dynamic and competitive, allowing new companies to rise to prominence and challenge established leaders. This ongoing process fosters strong competition at various levels of the AI stack, ensuring a healthy and innovative market.

July 15, 2024|Reports & Briefings

What Does the UK Public Think About AI?

A nationally representative survey of more than 2,000 adults in the UK, conducted by Public First in partnership with the Center for Data Innovation to track how public attitudes and perceptions of artificial intelligence.

July 9, 2024|Blogs

The AI Act’s AI Watermarking Requirement Is a Misstep in the Quest for Transparency

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.

July 8, 2024|Blogs

Fact of the Week: At Least 10 Percent of Scientific Research Is Being Co-Authored by AI

A recent working paper found that at least 10 percent of biomedical abstracts published in 2024 were found to have been written with a large language model.

July 1, 2024|Op-Eds & Contributed Articles

Don’t Blame Technology for Misinformation, Polarization, and Electoral Distrust

The roots of the word scapegoat go back to biblical times, when the sins of the people were ritually bestowed upon an actual goat, which was then sent away to remove these sins from the community. It’s an apt analogy for the way advanced technologies are now blamed for seemingly every societal ill. But just as goats weren’t responsible for the sins of the ancients, neither is technology to blame for ours.

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