Trust + Transparency: What It Actually Takes to Build Confidence in Agentic Learning
Duration: 30 minutes
AI is moving quickly into classrooms, but many district leaders are still working to answer important questions from boards, parents, and teachers about privacy, transparency, accuracy, and evidence.
In this session, Ran Liu, Chief AI Scientist at Amira Learning, explains what responsible adoption of a learning agent should look like, including data privacy and transparency, a focus on equitable and purpose-built systems, outcomes accountability, and what district leaders should demand from any vendor before they bring an AI learning agent into their classrooms.
This session will provide a clearer understanding of what questions to ask, what answers to expect, and what it takes to build lasting confidence in AI for learning.

Amira delivers dynamic assessment that continuously and authentically listens as students read aloud, and identifies skills mastery to inform instruction
Built on the Science of Reading, Amira provides 1:1 tutoring and feedback. She listens as students read aloud, assessing proficiency, and responding in English and Spanish.
Amira guides your teachers in building differentiated lesson plans by aligning instructional strategies, delivering tailored supplemental instruction, and determining how much instructional time each student needs to reach mastery.
Amira connects English and Spanish assessment, instruction, and tutoring into one biliteracy suite.

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