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Discussion on Federal Data and AI Research Development Guidelines Sent to OMB

Responding to the Office of Management and Budget's request for information, the Center for Data Innovation has offered their insights on prioritizing improvements for federal data, focusing on AI research, development, and testing. They have suggested models to enhance the quality of data and...

Discussion on Federal Data and AI Research and Development Models with the Office of Management and...
Discussion on Federal Data and AI Research and Development Models with the Office of Management and Budget

Discussion on Federal Data and AI Research Development Guidelines Sent to OMB

The Center for Data Innovation has submitted comments to the Office of Management and Budget (OMB) regarding federal data and AI research and development. The comments, in response to a request for information on federal data and models for AI research and development, propose a demand-driven framework to make the federal government's data and models a more effective public resource for AI advancement.

The framework, if implemented, would establish a permanent channel for industry, academia, and AI stakeholders to help identify and prioritize the publication of, and improvements to, high-value models. This would ensure that the federal government's investment in data and models for AI research and development is focused on areas that will have the greatest impact.

The Center believes that federal data and models can serve as an important public resource for AI advancement. The OMB is exploring how the federal government can provide this resource, and the Center's proposal aims to make the most of this opportunity.

The demand-driven framework would work by allowing for the identification of models that are most valuable to the AI community and the prioritization of their publication and improvement. This would help to ensure that the federal government's data and models are aligned with the needs of the AI community and are being used to their full potential for advancing AI research and development.

The comments suggest that this framework would help to increase the efficiency and effectiveness of the federal government's investment in data and models for AI research and development. It would also provide a structured and transparent process for identifying and prioritizing the publication and improvement of federal data and models for AI research and development.

Moreover, the framework would provide a mechanism for industry, academia, and AI stakeholders to provide input and guidance on the publication and improvement of federal data and models for AI research and development. This would help to ensure that the federal government's investment in this area is informed by the latest research and industry trends.

The comments note that this framework would help to ensure that the federal government's investment in data and models for AI research and development is focused on areas that will have the greatest impact. It would also help to ensure that the federal government's data and models are aligned with the needs of the AI community and are being used to their full potential for advancing AI research and development.

In conclusion, the Center for Data Innovation's proposal for a demand-driven framework for the publication and improvement of high-value models is a significant step towards making the federal government's data and models a more effective public resource for AI advancement. The comments highlight the potential benefits of this framework, including increased efficiency, effectiveness, and alignment with the needs of the AI community. The OMB is currently considering the comments and the proposal, and it remains to be seen whether this framework will be implemented in the near future.

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