Khan Academy's founder demonstrates AI tutor to Board of Governors as system explores classroom uses

Sal Khan, founder and CEO of Khan Academy, demonstrated an AI-powered tutoring and teaching-assistant tool at the Board of Governors' Jan. 14 meeting, showing how large language models can be used to support students in math, coding and writing and to assist instructors with lesson planning.

Khan presented examples of a conversational tutoring agent that prompts students rather than handing them answers, an AI "teacher's guide" mode that offers lesson hooks and class activities, and a writing-coach interface that provides iterative, formative feedback while documenting student revision history for instructors. Khan framed the tools as efforts to approximate 1-on-1 tutoring at scale, referencing Benjamin Bloom's classic findings that individualized tutoring can yield large learning gains.

Khan emphasized guardrails the platform uses in K'12 settings, such as teacher visibility into student-AI interactions and limits on the AI when used by minors. He also described a rollout at districts that had piloted the tools in math and literacy instruction, saying students responded positively and teachers used the system as a resource for lesson plans and formative feedback.

Board members asked about faculty training, academic integrity and the carbon footprint of AI. Khan recommended transparent local policies that tell students when AI is allowed and when it is not; he argued that giving teachers access to the AI'student interaction record is a more reliable way to detect misuse than stand-alone detectors. On climate concerns, staff noted the chancellor's office would examine the energy footprint of systemwide AI investments as part of infrastructure planning.

Why it matters: Several demonstration projects in the Chancellor's Office rely on modern data and tutoring tools; the governor's budget proposal includes major technology investments. Khan's presentation gave governors an operational look at how an AI tutor could supplement instruction, expand personalized practice and reduce grading time, while also raising questions about academic integrity and implementation.

Next steps: Board members invited further briefings on AI policy, privacy and infrastructure; chancellor's staff said they would provide additional guidance on pilot criteria and on the interplay with curricular and labor policies.