Robust technical standards for AI will be crucial to the success of the technology in the United States and abroad because they can serve as authoritative guidelines and benchmarks for the development and evaluation of AI. But concerns about the oversight of AI have stymied productive discussions about standards development by causing policymakers to prioritize oversight at the expense of technical understanding.

Comments to NIST on AI Standards

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.

Rethinking Concerns About AI’s Energy Use

Rethinking Concerns About AI's Energy Use

Daniel Castro speaks about AI, energy use, and public policy at the Climate-Energy Summit Seoul 2025 (CESS 2025) hosted by Climate Change Center in Seoul, South Korea.

Addressing Concerns Over AI’s Energy Consumption: Responsible AI Use and Policy Support Measures

Addressing Concerns Over AI's Energy Consumption: Responsible AI Use and Policy Support Measures

To avoid disadvantaging and stifling open-source AI, BIS should consider adjustments of reporting for open-source models, allowing for the continued growth of innovation while ensuring the necessary security oversight.

Comments to the Bureau of Industry and Security’s Proposed Rule to Establish AI Reporting Requirements

NITRD’s National AI R&D Strategic Plan is a valuable opportunity to help the United States maintain its competitive edge in the absence of a broader national AI strategy.

Comments to NITRD on Updates to the 2016 National AI R&D Strategic Plan

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).

Comments to AISI on Managing Misuse Risk for Dual-Use Foundation Models

Artificial Intelligence is the proverbial Wild West, at least that's what concerns many skeptics. Please join ITIF's Center for Data Innovation in partnership with NIST for a conversation about the state of play in developing standards and oversight of AI systems, the need for proper governance of AI in key industries like health care and transportation, and the role that policymakers can play in advancing these efforts.

What’s Next in Standards Setting for AI?

What's Next in Standards Setting for AI?

U.S. policymakers should learn lessons from past debates about dual-use technologies, such as encryption, and refrain from imposing restrictions on foundation models with widely available model weights (i.e. “open models”) because such policies would not only be ultimately ineffective at addressing risk, but they would slow innovation, reduce competition, and decrease U.S. competitiveness.

Comments to NTIA on Dual Use Foundation Artificial Intelligence Models With Widely Available Model Weights

A national AI strategy is necessary to bolster U.S. competitiveness, strengthen national security, and maximize the societal benefits that the country could derive from AI.

To Do: Develop Energy Transparency Standards for AI Models

Recommendation

Details

Editors’ Recommendations

Picking the Right Policy Solutions for AI Concerns

Related

Comments to NIST on AI Standards

Rethinking Concerns About AI’s Energy Use

Addressing Concerns Over AI’s Energy Consumption: Responsible AI Use and Policy Support Measures