The AI Ethics Gap in K–12 Education: Why Technical Training Alone Fails Our Teachers and Students
Description
Abstract: Artificial intelligence is rapidly entering K–12 classrooms worldwide, yet most educators lack formal training in AI—and even fewer have received instruction in AI ethics. Emerging evidence suggests that approximately two-thirds of teachers have no formal AI preparation, while those who do receive training typically encounter tool-focused, technical instruction rather than comprehensive ethics education. Meanwhile, government mandates requiring AI instruction are accelerating, and technology companies are scaling products with unprecedented speed. This disconnect leaves teachers, families, and students vulnerable to documented harms, including AI-related psychological distress. This article examines the current landscape of AI readiness in schools, analyzes organizational and individual consequences of the ethics training gap, and presents evidence-based interventions—from educator capability building and transparent governance frameworks to cross-sector partnerships and ethical curriculum design. Drawing on established research in organizational learning, educational technology adoption, and professional development, the article offers a roadmap for school leaders, policymakers, and technology companies committed to building sustainable, human-centered AI ecosystems in education.
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United States
