We explore what it would mean to move beyond using AI to simply speed up traditional tests and instead use it to rethink assessment itself.  We look at how AI could help schools design more authentic, responsive, and instructionally useful assessments.

We also explore a central tension: will AI merely help schools build a faster version of the assessment systems they already have, or can it help educators create something fundamentally better for students and teachers?

Topics covered:

• How AI could reshape assessment beyond efficiency and automation
• Why assessment should function more like coaching than scorekeeping
• The difference between optimizing old systems and innovating new ones
• Why authentic performance tasks matter for student learning
• How AI might help teachers hear more student thinking, more often
• The importance of design intent in AI-enabled assessment
• Why routines, infrastructure, and school culture matter as much as the tool itself
• What “assessment literacy” means for students and teachers
• The promise and limits of AI feedback in supporting deeper learning
• Why the teacher’s role remains essential, even as AI grows more capable