Improving Data Infrastructure to Meet Student and Learner Information Needs
Summary
The Congress should dedicate $1 billion, 1 percent of the proposed workforce funding under the American Jobs Plan, for needed upgrades to Statewide Longitudinal Data Systems (SLDS). Major upgrades are needed to Statewide Longitudinal Data Systems to enable states to effectively monitor and address long-term pandemic learning loss, while ensuring this generation of students stays on track for college and career in the aftermath of the pandemic. With the major influx of planned resources into K12 and postsecondary education from the recent and upcoming relief bills, there is also a critical need to ensure those funds are targeted toward students and workers who are most in need and to measure the impact of those funds on pandemic recovery. Some states, such as Texas and Rhode Island, are already leveraging funds from previous relief bills (e.g., Governor’s Emergency Education Relief Fund from the Coronavirus Aid, Relief, and Economic Security, or CARES Act), to modernize their data systems, offering a model for other states to connect education, workforce, and social services information. This demonstrates an interest and need among states for SLDS upgrades, though additional investment is necessary to address historically underfunded data infrastructure.
Too often, affected patients, clinicians, and regulators cannot see how the system works, why a decision was made, or whether meaningful human oversight occurred.
Existing tools from other domains, such as existing robust public engagement processes in drug development, when applied to AI deployment can help strengthen public trust in these systems and enhance perceptions of their legitimacy and the decisions they produce.
With thoughtful policy action, it is still possible to build systems that are fair, transparent, and accountable, and to earn the public trust that will ultimately determine AI’s future. We hope policymakers are ready to act.
Procurement is not merely an administrative function—it is how AI enters government and the first line of defense for responsible AI in the public sector.