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

The Center for Data Innovation has responded to a request for comment from the National Institute of Standards and Technology (NIST) on its draft white paper, “Four Principles of Explainable Artificial Intelligence,” which seeks to develop principles encompassing the core concepts of explainable AI.

Comments to NIST on Explainable AI

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

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 filed comments in response to a request for information from the Office of Management and Budget on identifying priority access or quality improvements for federal data and models for artificial intelligence (AI) research and development (R&D) and testing.

Comments to OMB on Federal Data and Models for AI R&D

The Center for Data Innovation outlined seven policy priorities we believe to be most critical for the AI Action Plan, along with specific actions the administration should take. 

Comments to the Office of Science and Technology Policy on the Development of an AI Action Plan

If successful, the NAIRR would serve to bolster innovation and U.S. competitiveness in AI. We support the goals of the Task Force and offer several comments to inform the work of the Task Force.

Comments to OSTP and NSF on a National AI Research Resource (NAIRR)

On behalf of the Center for Data Innovation, the following are comments regarding the Competition and Markets Authority’s (CMA) initial review of foundation models, their competitive market and use cases, and principles that can guide their development and adoption.

Comments to the Competition and Markets Authority on AI Foundation Models

ITIF's Center for Data Innovation submitted comments to the NHTSA on it's proposed “Federal Automated Vehicles Policy” which is intended to advance the development of autonomous vehicles.

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

Related

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

Comments to NIST on Explainable AI

Comments to NIST on AI Standards