AI in Schools / State report
Washington state guidance and Seattle AI safeguards
Washington’s state guidance coexists with Seattle’s local rules. Seattle’s revised procedure addresses attribution, responsible use and protection of student data.
Published
Research as of · Sources & Notes
State guidance
California, Massachusetts and Washington guidance
California published its state model in June 2026 and explicitly called compliance nonmandatory. It recommends annual consent around AI-driven collection and autonomous interactions and says detector output should not be the sole basis for punishment or a grade penalty. Massachusetts says its guidance neither recommends nor requires schools to use AI; it offers privacy, human-oversight and integrity considerations to districts choosing to do so. Washington's state guidance coexists with Seattle's revised local acceptable-use procedure. For families and students the correct document is the adopted local rule; for educators and leaders, these state texts are useful design inputs but not interchangeable mandates. [5][6][35][7][10]
What do these guidance documents establish?
California, Massachusetts and Washington offer different guidance
These state texts inform local design. They do not establish identical adopted district rules.
California, Massachusetts and Washington offer different guidance. These state texts inform local design. They do not establish identical adopted district rules. California. State guidance: The model recommends annual consent and safeguards around AI data and interactions. Limit: Compliance is nonmandatory. Detector output should not alone justify punishment or a grade penalty. Evidence state: guidance. Massachusetts. State guidance: Guidance offers privacy, human-oversight and integrity considerations. Limit: The guidance neither recommends nor requires schools to use AI. Evidence state: guidance. Washington. State guidance: State guidance coexists with Seattle’s revised local procedure. Limit: State guidance and a local acceptable-use rule require separate fields. Evidence state: guidance.
| Jurisdiction or item | State guidance | Limit |
|---|---|---|
| CaliforniaState guidance | The model recommends annual consent and safeguards around AI data and interactions. | Compliance is nonmandatory. Detector output should not alone justify punishment or a grade penalty. |
MassachusettsState guidanceSource notesSource notes [35] | Guidance offers privacy, human-oversight and integrity considerations. | The guidance neither recommends nor requires schools to use AI. |
| WashingtonState guidance | State guidance coexists with Seattle’s revised local procedure. | State guidance and a local acceptable-use rule require separate fields. |
View data and source notes
| Item | State guidance | Limit | Status | Sources |
|---|---|---|---|---|
| California | The model recommends annual consent and safeguards around AI data and interactions. | Compliance is nonmandatory. Detector output should not alone justify punishment or a grade penalty. | guidance | [5][6] |
| Massachusetts | Guidance offers privacy, human-oversight and integrity considerations. | The guidance neither recommends nor requires schools to use AI. | guidance | [35] |
| Washington | State guidance coexists with Seattle’s revised local procedure. | State guidance and a local acceptable-use rule require separate fields. | guidance | [7][10] |
Seattle separates AI safeguards from general network restrictions
Seattle revised its electronic-resources procedure on April 29, 2026 and expects attribution, responsible use and protection of student data. Its general network provision allowing a family to request a restricted-access group is not an AI-specific opt-out. The district describes a 2024-25 pilot of five high schools and two middle schools, showing exploration alongside district controls. Students should attribute help and avoid sharing protected data; families can ask what a restricted network group actually blocks; leaders should keep product instructions aligned with the procedure. [10][12]
Sources & Notes
This report reflects research as of October 6, 2026. Reference numbers link to the cited publications.
The August tracker counts describe its historical snapshot. The reviewed policy database has a separate scope and release date. Neither is a census of classroom AI use.
- Release of Model Policy: AI in Education - Letters (CA Dept of Education)www.cde.ca.gov
- Model Policy: Artificial Intelligence In Education - Professional Learning (CA Dept of Education)www.cde.ca.gov
- Classroom AI by State and District | Formative Spaceswww.formativespaces.com
- Policies : 2022SP Electronic Resources/Use of the Internet - Seattle Public Schoolswww.seattleschools.org
- Artificial Intelligence FAQs - Seattle Public Schoolswww.seattleschools.org
- Massachusetts Guidance for Artificial Intelligence in K–12 Educationwww.doe.mass.edu
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