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House memorial asks LESC to convene AI and education data governance working group
Summary
House Memorial 2 asks the Legislative Education Study Committee to convene a working group to develop statewide education data‑governance policies that account for artificial intelligence, tribal data sovereignty and coordination across agencies; supporters from universities, startups and education groups urged the study.
House Memorial 2, presented to the House Education Committee, requests that the Legislative Education Study Committee (LESC) convene a working group to study statewide education data governance with explicit attention to artificial intelligence, data quality, data sharing and tribal data sovereignty.
Presenter remarks and multiple witnesses stressed that current education data are sometimes incomplete, inconsistent or siloed, limiting lawmakers’ ability to evaluate whether investments are working. The memorial calls for policies and standards to make data “accurate, complete, consistent, granular and timely,” and asks LESC to bring together K‑12 agencies, higher education, tribal representatives and education partners to develop governance recommendations.
Tim Bodeau (LESC) appeared as a technical witness and said he would serve in a technical role. Startup and research speakers urged quick work: Alexander Jacobson of an Albuquerque AI startup and Lisa Harmon Martinez of Future Focus Education said schools and districts already face decisions about data use in AI tools and that governance should protect local language and cultural knowledge. “Governance is crucial to start ... applying governance measures to that type of data,” Jacobson said in public comment, noting risks from external models and the need to protect local content.
New Mexico State University’s president and representatives of school superintendents, charter schools, Teach Plus New Mexico and other education groups expressed support. Witnesses asked that metrics like college‑ and career‑readiness be part of any data work and asked that teachers and local educators be included in the working group.
No formal committee vote on the memorial is recorded in the transcript excerpt; witnesses and presenters requested participation and rapid action to ensure data integrity and protections for tribal communities.
Ending: Supporters emphasized that data governance is foundational to assessing program effectiveness and to safe, equitable use of AI in classrooms; the memorial would create a formal venue to coordinate agencies, protect sensitive data and develop shared standards.
