Cara Dillon, Adam B. Lockwood, Daniel S. Newman, Julia N. Villarreal, Jakayla Fulwood, Dowon Choi
tlooto-Zusammenfassung
Findings reveal substantial disparities between institution and program-level AI governance, with program policies inadequately addressing critical areas including data privacy, bias mitigation, and equitable access.
Abstract
Abstract This study examined artificial intelligence (AI) policies in school psychology training programs. Ninety-six faculty members from US school psychology programs completed an online survey regarding AI policies at the institution, college, and program levels and submitted policy documents. Twenty-seven percent of institutions, 6% of colleges, and 23% of programs had established AI policies. Institution-level policies more comprehensively addressed ethical considerations (100%), data privacy (71%), and diversity concerns (67%) compared to program-level policies (88%, 24%, and 24%, respectively). Program-level policies showed significant gaps in monitoring AI impacts (0%), transparency requirements (6%), and equitable access provisions (12%). Findings reveal substantial disparities between institution and program-level AI governance, with program policies inadequately addressing critical areas including data privacy, bias mitigation, and equitable access.
Zitationsformat
DILLON, Cara, et al. Artificial intelligence governance in school psychology programs: Institutional and programmatic policies. Journal of Applied School Psychology, 2026, 42(1): 25–45.