Discussions Regarding Data Equity and Responsibility under OSTP's Guidelines
The Office of Science and Technology Policy (OSTP) has received a filing from the Center for Data Innovation, which outlines recommendations for promoting equitable data use and closing the "data divide" in the United States.
The filing encourages OSTP to prioritize addressing social and economic inequalities in data collection and usage. This can be achieved by soliciting public input on regulations that hinder innovation and collaborating with federal agencies to remove barriers that disproportionately affect marginalized communities.
One of the key recommendations is for OSTP to support partnerships to increase access to high-performance computing for underrepresented groups. This would help improve the effectiveness of data-driven services and decision making.
The filing also suggests that OSTP should promote data literacy curriculums in U.S. schools to enhance Americans' ability to use data about themselves and their communities. This would ensure more opportunities for individuals to make informed decisions based on data.
Moreover, the Center for Data Innovation has recommended that OSTP should prioritize closing the "data divide" by focusing on social and economic inequalities that result from a lack of collection or use of data about individuals or communities.
In addition, the filing proposes that OSTP should support initiatives like the National AI Research Resource (NAIRR) pilot, which aims to democratize access to AI models, data, and software. This would help reduce economic disparity in data usage and AI development.
Furthermore, the filing encourages OSTP to advance open-source and open-weight AI model adoption, making critical AI tools more accessible to small and medium-sized businesses. This would help reduce the economic disparity in AI development.
Lastly, the filing recommends that OSTP should encourage structural and context-sensitive research and policy that addresses systemic inequalities and algorithmic biases. This would help create a more inclusive knowledge infrastructure and mitigate misinformation disproportionately affecting marginalized communities.
In summary, the Center for Data Innovation's recommendations align with broader federal AI strategies to ensure inclusive innovation and reduce inequalities in data and technology. The OSTP's role, according to the filing, is to solicit public input, enable access to computational and AI resources, promote open-source AI models, support research and policy frameworks that address algorithmic bias, and address socioeconomic marginalization in AI and data use.
Technology and innovation are key focuses in the Center for Data Innovation's recommendations to the Office of Science and Technology Policy (OSTP). The filing suggests that OSTP should prioritize AI initiatives like the National AI Research Resource (NAIRR) pilot to democratize access to AI models, data, and software, thereby reducing economic disparities in AI development. Additionally, the recommendation to support partnerships to increase access to high-performance computing for underrepresented groups can improve the effectiveness of data-driven services and decision making. Furthermore, the filing encourages promoting data literacy curriculums in U.S. schools, leveraging technology and education-and-self-development to enhance Americans' ability to use data about themselves and their communities.
