aiEDU and SDUSD work together to build AI Readiness

aiEDU is supporting San Diego Unified School District (SDUSD) in its efforts to drive AI Literacy and AI Readiness for its students. 

SDUSD is one of the nation’s largest school districts, serving nearly 100,000 students. The district recently launched an AI task force made up of more than 60 stakeholders, including teachers, students, principals, and community members. 

During the task force’s first meeting, in November, aiEDU helped the task force build a shared understanding of AI Literacy and the importance of creating and implementing consistent guidelines for use. aiEDU also helped the task force coalesce around a common mission by connecting the task force’s purpose back to SDUSD’s values.

The task force split into several sub-groups that were each focused on guidelines for a specific topic or audience. (For example, one group focused on students and another focused on educators.) The work grew from aiEDU’s work in other districts — including in Ohio, Los Angeles Unified School District (LAUSD), and Prince George’s Public Schools in Maryland — as well as feedback from task force participants.

Teachers on the task force came together during a release day in January and each of the sub-groups will continue to meet over the next month to map the existing landscape of current tools and determine the values, stakeholder interests, data privacy considerations, ethical considerations, and considerations for tool procurement that impact their focus audience/topic. 

These reflections will culminate in draft guidelines for each topic that will be shared, reviewed, and tweaked by the larger group through feedback protocols during the final task force meeting in March. 

The initiative underway in SDUSD hits on a critical domain within aiEDU’s AI Readiness Framework: policy and operations. 

Establishing guidelines for consistent AI use brings SDUSD one step closer to AI Readiness at the systems level.

To learn more about the other domains of systems readiness, and evaluate your system’s current level of readiness, review aiEDU’s AI Readiness Framework here.