This episode explores how accountability must evolve in AI-supported educational systems. As adaptive, data-driven tools become embedded in everyday workflows, they influence not only decisions, but the conditions under which those decisions unfold. Drawing on a sociotechnical perspective, the conversation invites reflection on lifecycle responsibility — from design to implementation to use — and what it means to examine not just outcomes, but the environments that shape judgment.
Related brief:
Accountability in AI-Supported Educational Systems