SAFE Framework

A transition-focused lens for reviewing whether an AI use is safe, accountable, fair, and useful.

The framework slows down quick adoption and recenters human responsibility. Read the official SAFE Benchmarks Framework.

Area Transition-focused question
Safety Are we protecting student data, privacy, and dignity?
Accountability Who reviews the output and owns the final decision?
Fairness and Transparency Does this reduce access, reinforce assumptions, or hide how decisions are made?
Efficacy Does this improve planning, instruction, communication, or student outcomes?

What this page helps staff do

Use the framework before adoption, during planning, and while reviewing output from an approved tool.

Who keeps responsibility

Staff, IEP teams, and program leaders retain final responsibility for interpretation, decisions, and implementation.

What still requires human review

Whether the use is appropriate, whether the output narrows expectations unfairly, and whether the task actually improves instruction or planning.

Common warning signs

Identifying information is being pasted for convenience, the output is treated as final because it sounds polished, or the task feels impressive without being useful.