{"resourceId":"michigan-mde-ai-together-ccsso-digital-excellence-multistate-20261106","versions":[{"version":"external-aaf8ad92a50e6272f1f82ef20f135ad86fb4f8993887c6344592b62e86dba9f6","resource":{"id":"michigan-mde-ai-together-ccsso-digital-excellence-multistate-20261106","title":"Michigan DOE uses CCSSO Digital Excellence grant to launch multi-state AI Together on AI, screens, privacy, integrity and well-being","organization":"Michigan Department of Education","sector":"K-12 state education agency AI and digital learning","geography":"Michigan and partner states (Delaware, Kentucky, Nebraska, New Mexico, North Carolina, Wyoming), United States","publishedAt":"November 6, 2026","publicationDate":"2026-11-06","eventDate":"2026-11-06","sourceName":"Michigan Department of Education","sourceLabel":"State education agency press release","sourceUrl":"https://www.michigan.gov/mde/news-and-information/press-releases/2026/11/06/mde-leads-transformative-projects-for-digital-teaching","evidenceClass":"standards-guidance","outcomeClass":"emerging","topics":["governance-procurement","operating-model","accessibility-workforce"],"finding":"On Nov. 6, 2026, MDE announced $53,000 in second-round CCSSO Digital Excellence Collaborative Community funding (Ballmer Group) to begin multi-state work with Delaware, Kentucky, Nebraska, New Mexico, North Carolina and Wyoming. AI Together: Connecting States, Schools, and Families will develop engagement strategies on AI, screen time, data privacy, academic integrity and student well-being; a companion Student Voice project will surface student and educator barriers to equitable digital learning. Materials are intended for sharing with all states. A prior $40,000 mini-grant produced multilingual parent tech-support videos in GoOpen Michigan.","sledRelevance":"Shows SEAs coordinating shared family-facing AI/screen/privacy resources rather than leaving every district to invent engagement strategies alone—transferable for states seeking cross-jurisdictional playbooks without mandating a single classroom tool.","evidence":"Primary SEA press release with named grant amounts, partner states and project scopes. No student outcome metrics.","architectureImplications":"Interpretation: expect shared templates for family AI/screen/privacy communications that districts still must map to local SIS, LMS and filter stacks.","governanceImplications":"Multi-state collaboration frames AI alongside screen time, privacy, integrity and well-being as a governance bundle, not a standalone chatbot policy.","securityPrivacyImplications":"Project scope includes data privacy engagement strategies but does not publish vendor controls or DPIA templates in this release.","caveats":"Announcement of work beginning; deliverables, evaluation methods and timelines not specified; $53,000 budget is limited relative to statewide need.","streamIds":["k12"],"roles":{"sales":"The framing point is that a state education agency is bundling AI with screen time, privacy, integrity and well-being in a multi-state family-engagement project rather than selling a classroom chatbot. A bounded engagement is a crosswalk of the forthcoming AI Together materials to a district’s existing family communication and digital-citizenship plan, with clear gaps called out. This evidence cannot support claims that the grant will raise achievement or that partner-state resources will fit every local statute.","engineering":"Fit is content and process packaging—shared engagement resources—not a new AI inference platform. Interpretation: engineers should treat outputs as policy/comms artifacts to wire into district websites, parent portals and translation workflows already proven in MDE’s first-round multilingual videos. Proof of value is a pilot district publishing localized AI/screen/privacy notices that cite the shared templates, because the press release announces intent without shipped controls.","delivery":"Delivery work is SEA-to-district adoption: stand up a working group with partner states, draft family engagement kits on AI, screens and privacy, and field-test with multilingual communities using first-round video lessons. State ed-tech leadership would own it with district communications partners. Interpretation: acceptance criteria could include published shared resources and a district localization checklist. Risks include thin funding, uneven partner capacity, and districts treating drafts as mandates."},"roleDetails":{"sales":{"customerProblem":"Districts and SEAs need shared family engagement strategies on AI, screens, privacy and integrity without each inventing materials alone.","stakeholders":["State superintendent","SEA digital learning leads","District family engagement","Partner SEAs","Multilingual families"],"discoveryQuestions":["Which AI Together artifacts will be public versus SEA-only?","How will partner-state legal differences be handled in shared templates?","How do first-round multilingual video workflows carry into AI Together?"],"valueHypothesis":"Shared multi-state engagement kits could cut duplicated local drafting on AI/screen/privacy messaging.","potentialEngagement":"A short localization workshop mapping AI Together drafts to one district’s parent portal and policy stack.","unsupportedClaims":["That the $53,000 grant will improve student learning outcomes","That partner-state resources satisfy every local privacy statute","Guaranteed statewide adoption timelines"]},"engineering":{"fit":"Shared communications and guidance artifacts integrated into existing district portals and translation pipelines.","architectureIntegration":"Interpretation: reuse GoOpen/multilingual publishing patterns; do not assume a new AI platform procurement.","prerequisites":["Inventory of current family AI/screen notices","Translation/localization workflow owner","Partner-state contact map"],"constraints":["Modest grant funding","Deliverables not yet published","Cross-state legal variance"],"security":"Any templates mentioning student data must align with FERPA/COPPA and local vendor contracts before district reuse.","proofOfValue":["Publish at least one localized family AI/privacy notice from shared draft","Confirm accessibility and language coverage for target communities","Track which partner SEAs reuse the same artifact"]},"delivery":{"work":"Coordinate multi-state drafting of AI Together engagement materials and field-test with districts.","dependencies":["CCSSO grant administration","Partner SEA staff time","District pilot sites"],"ownership":"Michigan Department of Education digital teaching/learning leadership with partner SEAs.","skillsAdoption":"District communicators and principals need briefing on how to adapt—not copy-paste—shared AI/screen guidance.","governanceCheckpoints":["Shared draft legal review per state","Public release criteria","District feedback loop"],"acceptanceCriteria":["Public shared AI Together resource package","Documented localization checklist","At least one partner SEA reuse example"],"risks":["Under-resourced delivery","Uneven partner participation","Districts misreading drafts as mandates"]}},"retrievedAt":"2026-11-06T22:10:45-06:00","enrichedAt":"2026-11-06T22:14:20-06:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"First-round multilingual parent videos signal equity focus; AI Together workforce implications for teachers are not sized in the press release.","procurementImplications":"No new classroom AI product is procured here; value is shared guidance rather than a vendor award.","operatingModelImplications":"Interpretation: SEA operating model is shifting toward multi-state collaborative resource production on AI bundled with screen/privacy/well-being, not solely district-by-district chatbot rules.","sourceVerification":{"openedUrl":"https://www.michigan.gov/mde/news-and-information/press-releases/2026/11/06/mde-leads-transformative-projects-for-digital-teaching","referenceExcerpt":"One project—AI Together: Connecting States, Schools, and Families—will work on engagement strategies around AI, screen time, data privacy, academic integrity and student well-being.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}