Trusted AI through Innovation and Outcomes

AI is already in classrooms, counseling offices and district operations, yet a critical question remains: how do we know it is actually improving student outcomes? As schools move from experimentation to large-scale implementation, leaders must balance innovation with trust, accountability and evidence of impact. This poster presentation brings together perspectives from educational technology, independent AI evaluation, district leadership and real-world implementation to explore how schools can move from AI adoption to meaningful impact. Drawing on national educational AI evaluation initiatives, independent audits of AI systems, human-in-the-loop implementation models and district innovation efforts, it shares practical lessons for building trust, supporting educators and improving outcomes. You will learn how to evaluate AI solutions beyond marketing claims, understand how transparency, independent evaluation and human oversight support responsible implementation, and measure whether AI tools deliver meaningful value. Leave with key questions to ask vendors, technology teams and stakeholders before deciding what to scale, what to measure and what safeguards to put in place.