{"resourceId":"york-employer-proposal-ai-workplace-lou-human-review-notice-20261015","versions":[{"version":"external-ccdeacb33177e04c8f389770a95ef89dee983bca85b675f7b8e8e35bfac8bed9","resource":{"id":"york-employer-proposal-ai-workplace-lou-human-review-notice-20261015","title":"York University's 15 October employer AI letter of understanding commits to human review of AI-assisted employment decisions, 60-day notice for HR-related AI, and consent before training on staff data","organization":"York University; CUPE 3903 (teaching assistants, contract faculty, graduate and research assistants)","sector":"Research university: academic labor relations, HR and data governance","geography":"Toronto, Ontario, Canada","publishedAt":"Document dated 15 October 2026 ('WITHOUT PREJUDICE'), posted on the CUPE 3903 website","publicationDate":"2026-10-15","eventDate":"2026-10-15","sourceName":"York University employer proposal, published by CUPE 3903","sourceLabel":"Primary bargaining document (employer proposal; interested parties)","sourceUrl":"https://cupe3903.org/wp-content/uploads/2026/10/2026-10-15-Employer-Proposal-LOU-AI-in-the-Workplace.pdf","evidenceClass":"vendor-claim","outcomeClass":"emerging","topics":["accessibility-workforce","governance-procurement","data-security"],"finding":"York's employer proposal for an all-units AI letter of understanding defines AI by reference to Ontario's Enhancing Digital Security and Trust Act. It would require AI use to be transparent to materially affected employees and subject to human oversight, and bars AI from making decisions on terms and conditions of employment without human review and final approval. It requires at least 60 days' written notice to the union before first use, or material change in use, of AI that provides input to hiring, performance evaluation or discipline, naming purpose, data and decision role. It also offers training on approved tools, bars knowingly submitting employee personal information to unvetted AI, and requires express consent before employee data or IP is used to train or fine-tune models, while excluding retrieval-only processing from that consent rule. Why now: the archive holds only York's separate same-day counter-proposal for a joint working group; this document is new and shows what the employer has put in writing.","sledRelevance":"Gives campus HR and IT a concrete, employer-drafted template for AI terms: human final approval on employment decisions, a fixed notice period scoped to HR uses, and a precise line between model training (consent needed) and retrieval (no consent).","evidence":"Primary text of a without-prejudice bargaining proposal. It is not agreed language, and the union's response is not included. The relationship between this proposal and the same-day joint-working-group counter-proposal is not explained in the document.","architectureImplications":"The training-versus-retrieval distinction maps onto real architectures: retrieval-augmented assistants over HR data would need vetting but not consent, while fine-tuning on staff content would. Systems must be able to show which they do.","governanceImplications":"Notice applies only to AI used for hiring, evaluation or discipline, narrower than union demands seen elsewhere; human review attaches to employment decisions.","securityPrivacyImplications":"Employee personal information may only go to AI systems vetted under university privacy and security policies; training on employee data or metadata requires express informed consent.","caveats":"Proposal only; terms may change or be dropped. Applies to CUPE 3903 units, not all York staff. Read alongside the archived York counter-proposal; this record does not establish which text will prevail.","streamIds":["campus-operations"],"roles":{"sales":"Sales framing: York has put employer-drafted AI terms in writing that are specific enough to implement. Institutions facing similar bargaining may value help turning such terms into working procedures: an HR-AI system register, a notice template and a training-versus-retrieval test for vendors. Keep the offer to readiness work; this is a proposal, not agreed language, and it says nothing about outcomes or savings.","engineering":"Engineering framing: the proposal draws a technical line that pre-sales can test. Retrieval or indexing to deliver an authorised service is not training; updating model parameters on employee data is. Ask vendors to document both, check tenant settings for training opt-out, and confirm that HR-related AI records human final approval. Constraints include Ontario's statutory AI definition and university privacy vetting before any employee data reaches a system.","delivery":"Delivery framing: if terms like these are agreed, HR technology projects will need a 60-day notice step built into release plans, a description of each system's role in decisions, and evidence of human sign-off. HR and labor relations would own notice; IT would own vetting and configuration evidence. Proposed acceptance: every HR-related AI system has a notice record issued 60 days before go-live and a documented human approver."},"roleDetails":{"sales":{"customerProblem":"Universities need AI terms they can live with at the bargaining table and then actually operate.","stakeholders":["VP people and culture","Labor relations","CIO and privacy officer","General counsel","Union bargaining teams"],"discoveryQuestions":["Which AI systems give input to hiring, evaluation or discipline today?","Could you meet a 60-day notice window for HR-related AI?","Do your vendors train on staff data, and can you show they do not?"],"valueHypothesis":"Interpretation: an HR-AI register and notice procedure prepared before agreement could shorten implementation once terms settle.","potentialEngagement":"An HR-AI system register, notice template and vendor training-use review for one institution.","unsupportedClaims":["That the union accepts these terms","Any effect on grievances or costs","That the counter-proposal has been withdrawn"]},"engineering":{"fit":"Relevant to AI in HR, recruitment, performance and any assistant processing staff data.","architectureIntegration":"Separate retrieval-only processing from model training on staff data; log human approval in HR workflows.","prerequisites":["Vendor documentation of training use","Privacy and security vetting process","HR workflow audit logs"],"constraints":["Ontario statutory AI definition","Proposal language may change","Consent required before training on staff data"],"security":"Personal information only to vetted systems; express consent before training or fine-tuning on employee data or IP.","proofOfValue":["Collect vendor attestations on training use for each HR-related tool","Demonstrate an audit record of human final approval"]},"delivery":{"work":"Build a 60-day notice step and decision-role description into HR technology release plans.","dependencies":["Ratified agreement","Vendor transparency","HR and IT coordination"],"ownership":"HR and labor relations own notice; IT and privacy own vetting.","skillsAdoption":"Training on approved AI tools for affected staff, as the proposal offers.","governanceCheckpoints":["Privacy vetting before staff data is used","Union notice 60 days before go-live","Human approval recorded for employment decisions"],"acceptanceCriteria":["Proposed: 100% of HR-related AI noticed 60 days ahead","Proposed: no model training on staff data without recorded consent"],"risks":["Terms change before agreement","Vendors cannot evidence training use","Notice window slows urgent fixes"]}},"retrievedAt":"2026-10-18T21:52:24-05:00","enrichedAt":"2026-10-18T22:00:09-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Offers training on approved AI tools and human review of AI-assisted employment decisions; it does not address job displacement, which other unions are seeking.","procurementImplications":"Vendors would need to state whether customer data trains models and support a 60-day notice window before HR-related AI goes live.","operatingModelImplications":"HR technology changes would gain a fixed lead time and a documented decision-role description for each system.","sourceVerification":{"openedUrl":"https://cupe3903.org/wp-content/uploads/2026/10/2026-10-15-Employer-Proposal-LOU-AI-in-the-Workplace.pdf","referenceExcerpt":"The Employer shall provide the Union with written notice at least sixty (60) days before first operational use, or a material change in use","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}