Response to the Department of Education’s Request for Information on AI in Education
Stanford scholars respond to a federal RFI on advancing AI in education, urging policymakers to anchor their approach in proven research.
In collaboration with
Executive Summary
In this response to a request for information issued by the Department of Education regarding their proposed priorities and definitions for AI in education, scholars from Stanford HAI and the Stanford Accelerator for Learning urge policymakers to drive innovation, reflect the realities of state and local systems, and anchor policy in proven research. The recommendations aim to support the Department’s efforts to create conditions that enable schools, districts, and states to adopt AI in ways that improve outcomes and align with local priorities. These include:
Advance a research-practice ecosystem for effective use of AI in education.
Develop AI tools grounded in the learning sciences and built for education.
Broaden the vision for AI in education beyond individualized remediation.
Guide responsible AI innovation and adoption in education.
Related Publications
Response to OSTP's Request for Information on Accelerating the American Scientific Enterprise
Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.
Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.
Response to FDA's Request for Comment on AI-Enabled Medical Devices
Stanford scholars respond to a federal RFC on evaluating AI-enabled medical devices, recommending policy interventions to help mitigate the harms of AI-powered chatbots used as therapists.
Stanford scholars respond to a federal RFC on evaluating AI-enabled medical devices, recommending policy interventions to help mitigate the harms of AI-powered chatbots used as therapists.
Russ Altman’s Testimony Before the U.S. Senate Committee on Health, Education, Labor, and Pensions
In this testimony presented to the U.S. Senate Committee on Health, Education, Labor, and Pensions hearing titled “AI’s Potential to Support Patients, Workers, Children, and Families,” Russ Altman highlights opportunities for congressional support to make AI applications for patient care and drug discovery stronger, safer, and human-centered.
In this testimony presented to the U.S. Senate Committee on Health, Education, Labor, and Pensions hearing titled “AI’s Potential to Support Patients, Workers, Children, and Families,” Russ Altman highlights opportunities for congressional support to make AI applications for patient care and drug discovery stronger, safer, and human-centered.
Michelle M. Mello's Testimony Before the U.S. House Committee on Energy and Commerce Health Subcommittee
In this testimony presented to the U.S. House Committee on Energy and Commerce’s Subcommittee on Health hearing titled “Examining Opportunities to Advance American Health Care through the Use of Artificial Intelligence Technologies,” Michelle M. Mello calls for policy changes that will promote effective integration of AI tools into healthcare by strengthening trust.
In this testimony presented to the U.S. House Committee on Energy and Commerce’s Subcommittee on Health hearing titled “Examining Opportunities to Advance American Health Care through the Use of Artificial Intelligence Technologies,” Michelle M. Mello calls for policy changes that will promote effective integration of AI tools into healthcare by strengthening trust.