AI in Schools / State report
Massachusetts guidance does not require schools to use AI
The guidance neither recommends nor requires schools to use AI. It offers safeguards for districts that choose to use it.
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] |
Boston policy calls for tool vetting and family information
Fairfax says it does not provide or approve student access to general-purpose GenAI on district-issued devices; its separate guide for personally owned devices says the teacher's assignment rules come first and advises asking a caregiver before creating an account. Boston's TECH-06 policy and spring 2026 policy call for privacy-impact assessment, approved tools and family information. DCPS's AUP addresses approved student-learning tools and staff expectations; its annual enrollment acknowledgement is receipt of a policy, not a standalone consent to AI use. Together these cases show why device control, product approval and parental permission must be separate database fields. [26][13][23][14]
Which operational limit applies in each district?
Device rules, tool approval and family choice remain separate
Seattle, Fairfax, Boston and DCPS describe different operational safeguards. A policy acknowledgement does not itself establish AI consent.
Device rules, tool approval and family choice remain separate. Seattle, Fairfax, Boston and DCPS describe different operational safeguards. A policy acknowledgement does not itself establish AI consent. Seattle. Operational boundary: Attribution, responsible use and protection of student data. Family or assignment limit: A restricted-network request is a general mechanism, not an AI-specific opt-out. Evidence state: district procedure. Fairfax. Operational boundary: No provided or approved general-purpose GenAI access on district-issued student devices. Family or assignment limit: Personal devices follow teacher assignment rules. The guide advises asking a caregiver before account creation. Evidence state: district device scope. Boston. Operational boundary: Privacy-impact assessment, approved tools and family information. Family or assignment limit: TECH-06 and the spring 2026 policy supply the district context. Evidence state: district policy. DCPS. Operational boundary: Approved student-learning tools and staff expectations. Family or assignment limit: Annual enrollment acknowledgement records policy receipt. It is not standalone AI consent. Evidence state: district aup.
| Jurisdiction or item | Operational boundary | Family or assignment limit |
|---|---|---|
SeattleDistrict procedureSource notesSource notes [10] | Attribution, responsible use and protection of student data. | A restricted-network request is a general mechanism, not an AI-specific opt-out. |
FairfaxDistrict device rulesSource notesSource notes [26] | No provided or approved general-purpose GenAI access on district-issued student devices. | Personal devices follow teacher assignment rules. The guide advises asking a caregiver before account creation. |
| BostonDistrict policy | Privacy-impact assessment, approved tools and family information. | TECH-06 and the spring 2026 policy supply the district context. |
DCPSDistrict acceptable-use policySource notesSource notes [14] | Approved student-learning tools and staff expectations. | Annual enrollment acknowledgement records policy receipt. It is not standalone AI consent. |
View data and source notes
| Item | Operational boundary | Family or assignment limit | Status | Sources |
|---|---|---|---|---|
| Seattle | Attribution, responsible use and protection of student data. | A restricted-network request is a general mechanism, not an AI-specific opt-out. | district_procedure | [10] |
| Fairfax | No provided or approved general-purpose GenAI access on district-issued student devices. | Personal devices follow teacher assignment rules. The guide advises asking a caregiver before account creation. | district_device_scope | [26] |
| Boston | Privacy-impact assessment, approved tools and family information. | TECH-06 and the spring 2026 policy supply the district context. | district_policy | [13][23] |
| DCPS | Approved student-learning tools and staff expectations. | Annual enrollment acknowledgement records policy receipt. It is not standalone AI consent. | district_aup | [14] |
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
- Policieswww.bostonpublicschools.org
- Student and Staff Technology and Network Acceptable Use Policydcps.dc.gov
- Clean Copy of FINAL_Redline V7 DRAFT AI Policy (for SC)resources.finalsite.net
- Student Guide: Artificial Intelligencewww.fcps.edu
- Massachusetts Guidance for Artificial Intelligence in K–12 Educationwww.doe.mass.edu
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