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Center for Data Innovation

Center for Data Innovation

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. It educates policymakers and the public about the opportunities and challenges associated with data, as well as technology trends such as open data, artificial intelligence, and the Internet of Things. For more, get the Center’s weekly emails and visit datainnovation.org.

Featured Publications

How Generative AI Is Changing the Global South’s IT Services Sector

How Generative AI Is Changing the Global South’s IT Services Sector

Given the potential for countries to reshore and automate previously outsourced IT occupations, the Global South’s IT services appear vulnerable to the displacing effects of AI. Yet, existing policy responses may be insufficient to address that challenge.

What Does the Public Think About AI?

What Does the Public Think About AI?

In a nationally representative survey of more than 2,000 U.S. adults, Public First and the Center for Data Innovation track public attitudes and perceptions of artificial intelligence.

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.

Rethinking Concerns About AI’s Energy Use

Rethinking Concerns About AI’s Energy Use

Concerns about the energy used by digital technologies are not new. With the recent surge in interest in artificial intelligence, people are once again raising questions about the energy use of an emerging technology.

The U.S. Approach to Quantum Policy

The U.S. Approach to Quantum Policy

In the nearly 25 years since NSF held the U.S. government’s first workshop on the topic, it has become increasingly apparent that quantum information science has the potential to drive major advances in computing power, secure communication, and scientific discovery. So, the government has rightly recognized it needs to play an active role in ensuring the nation remains competitive in this critical field.

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Events

May 21, 2024

Insights on US Public Opinion on AI

Watch now for a Capitol Hill event covering an in-depth survey by ITIF’s Center for Data Innovation and Public First about what of Americans thinks about AI, how these views have shifted over the past year, and the implications of these beliefs for businesses, policymakers, and society at large.

May 15, 2024

How Can Policymakers Address AI Voice-Cloning Scams?

Watch now for a panel discussion exploring how threats from AI voice cloning are likely to develop, what countermeasures exist, and actionable steps policymakers can take to address both national and international threats.

April 24, 2024

Harnessing AI for Carbon Neutrality

Watch now for a panel discussion to explore the current landscape of AI applications in transitioning to a greener economy, identify key areas ripe for further exploration, and discuss actionable policy measures to foster innovation and adoption.

April 16, 2024

How Can the UK Encourage the Uptake of AI in the Public Sector?

Watch now for a panel discussion exploring the hurdles impeding the widespread adoption of AI in the public sector and examining actionable steps to empower and facilitate the sector in harnessing the benefits of this cutting-edge technology.

August 17, 2023

How Can Policymakers Support the Adoption of Drones for Package Deliveries?

Watch ITIF's Center for Data Innovation's webinar discussing the challenges inhibiting drone use in package delivery, where the drone tech and regulations affecting the tech are heading, and how policymakers can support safe drone operations.

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Ayesha Bhatti
Ayesha Bhatti

Policy Analyst

Center for Data Innovation

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Daniel Castro
Daniel Castro

Vice President and Director, Center for Data Innovation

Information Technology and Innovation Foundation

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Hodan Omaar
Hodan Omaar

Senior Policy Manager

Center for Data Innovation

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Becca Trate
Becca Trate

Policy Analyst

Center for Data Innovation

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More From the Center

July 1, 2024|Blogs

Two Key Moves The EU’s New AI Office Should Make To Foster Innovation

With the AI Act set to take effect soon, the focus now shifts to implementing this complex legislation. Central to this effort is establishing the AI Office, mandated to coordinate the Act's application, conduct AI safety research, develop Codes of Practice, and address compliance issues. However, there are concerns that bureaucratic challenges could hinder the Office, potentially stalling European AI innovation.

June 27, 2024|Blogs

Irish DPA’s Request to Meta Is a Misguided Move

The Irish Data Protection Authority (DPA) requested Meta pause its plans to train AI on public posts from its users last week. This request, instigated by complaints and pushback from the advocacy group NOYB (“none of your business”), is a shortsighted move that threatens to stifle innovation in developing AI systems.

June 24, 2024|Reports & Briefings

From Cart to Claim: Addressing Product Liability in Online Marketplaces

State product liability laws traditionally hold manufacturers, distributors, and sellers strictly liable for defective products they bring to market. As consumers increasingly make purchases from online marketplaces—platforms that aggregate products from multiple third-party sellers—new questions arise about how to best protect them from defective products that pose a risk to health and safety.

June 18, 2024|Blogs

OMB Should Help Create Standard Contractual Terms to Streamline the U.S. Government Procuring AI

As the Biden administration seeks to increase the responsible use of AI in the federal government, it will need to find ways to streamline contracting for AI services, especially for startups not familiar with all the red tape associated with government procurement. One step the Office of Management and Budget (OMB) should take is developing voluntary standard terms for AI contracts to make procurement more efficient and expand federal contract access to a diverse and large pool of vendors, ensuring agencies can access the best systems.

June 11, 2024|Blogs

Evidence Shows Productivity Benefits of AI

The emerging field that studies LLM productivity-boosting effects offers increasingly auspicious evidence that AI is boosting productivity, particularly for less productive workers. However, additional studies will be necessary to understand AI’s broader impact on firm productivity and the economy.

June 5, 2024|Blogs

The U.S.-China AI Dialogue Would Benefit From More Stakeholders

The United States and China commenced their first intergovernmental dialogue on AI in Geneva on May 14, 2024. This dialogue was a crucial step towards better cooperation between the United States and China on addressing AI risks, but given the continued growth in both commercial and military AI applications, much more collaboration is necessary, including among non-governmental stakeholders.

May 29, 2024|Blogs

State Department Risks Overlooking Potential of AI For Human Rights

President Biden’s 2023 executive order on artificial intelligence (AI) directed the State Department to work with other agencies and stakeholders to develop guidance for identifying and managing human rights risks associated with AI. As the State Department prepares this guidance, it should emphasize that in many cases, the risk of inaction—the missed opportunities to use AI to improve human rights—presents the most significant threat, and it should prioritize deploying AI to support and enhance human rights.

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