Discussions on Federal Data and AI Research Development Guidelines Submitted to the Office of Management and Budget
The Center for Data Innovation has weighed in on the Office for Management and Budget's (OMB) request for information regarding the identification of priorities for improving federal data and models for artificial intelligence (AI) research, development, and testing.
In their comments, the Center for Data Innovation proposes the establishment of a permanent channel for industry, academia, and other AI stakeholders to help identify and prioritize the publication of, and improvements to, the highest-value models. To maximize the effectiveness of this initiative, the OMB is encouraged to institutionalize a demand-driven framework for this purpose.
The U.S. General Services Administration (GSA) also submitted comments in response to the OMB's request. These comments addressed priority access or quality improvements for federal data and models in AI research and development. The GSA's suggestions included initiatives like prioritizing AI-based cloud services and enhancing procurement processes to support AI in federal agencies.
However, it's important to note that the comments from both the Center for Data Innovation and the GSA do not specify any particular models or data sets that should be prioritized. The comments also do not provide any details about the specific recommendations made by the Center for Data Innovation in their response.
The Center for Data Innovation emphasizes the importance of federal data and models as a public resource for the advancement of AI. By establishing a permanent channel for collaboration between industry, academia, and other AI stakeholders, they believe that the federal government can play a crucial role in driving the development and adoption of high-value AI models.
The OMB's exploration of how the federal government provides this resource is encouraging to the Center for Data Innovation. They believe that by fostering a demand-driven approach, the federal government can ensure that the most valuable AI models are developed and made accessible to those who can benefit from them the most.
In conclusion, the Center for Data Innovation's comments highlight the importance of a collaborative and demand-driven approach to AI research and development. As the field of AI continues to evolve, it's crucial that the federal government plays a proactive role in supporting the development and dissemination of high-value AI models.
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