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Data Foundation Releases New Guide for Policymakers on Effective AI Data Use

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Data FoundationAug 29 2024

The Data Foundation today published a new resource to support policymakers in considering strategies for effectively using data for AI. In "Data Policy in the Age of AI: A Guide to Using Data for Artificial Intelligence," the Data Foundation presents a comprehensive resource to equip policymakers with the tools needed to navigate the complex landscape of data governance in the era of artificial intelligence (AI).

The Data Foundation's "Data Policy in the Age of AI" white paper categorizes essential elements for responsible AI data use into three key components: high-quality data, effective governance principles, and technical capacity. The paper also introduces the AI-Ready Data Policy Tool, designed to support policymakers in assessing whether potential uses, policies, and laws related to AI adequately account for sound data practices.

"As we navigate an increasingly data-rich landscape influenced by advancements in AI, we must ensure that sound policy choices and principles guide our data practices," said Corinna Turbes, Director of the Data Foundation's Center for Data Policy. "The 'Data Policy in the Age of AI' white paper will help advance a discussion about creating a comprehensive public policy framework for data that aligns with government objectives and the public interest."

The publication of the "Data Policy in the Age of AI" white paper comes at a critical time, as the federal government grapples with over 700 reported AI use cases across Executive Branch agencies and as Congress considers multiple bills related to the development and use of AI. Members of the Data Foundation's Data Coalition community participated in an AI Working Group that supported development of the resource.

Key features of the white paper include:

- An overview of existing legal frameworks governing federal data
- A guide to data policy considerations specific to AI applications
- The AI-Ready Data Policy Tool for assessing and improving data policies

Source:

Data Foundation

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