Trust + Transparency: What It Actually Takes to Build Confidence in Agentic Learning
Duration: 60 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, will explain what responsible adoption of a learning agent should look like, including data privacy, algorithmic fairness, vendor transparency, and outcomes accountability. The discussion will highlight what district leaders should demand from vendors before bringing AI into their classrooms.
Attendees will leave with 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.
Now, Amira connects English and Spanish assessment, instruction, and tutoring into one biliteracy suite.

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