What does this research mean for the field?

SHAIR provides a governance framework for universities that promotes transparency and student competence in human-AI collaboration, replacing traditional surveillance-based approaches to academic integrity. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to introduce SHAIR as a governance framework for universities integrating AI into academic practices.

February 19, 2026Open Access

SHAIR: The Stewardship of Human-AI Academic Inquiry and Relationships

Key Points

The aim is to introduce SHAIR as a governance framework for universities integrating AI into academic practices.
Introduced a stewardship model for academic integrity replacing conventional approaches.
Outlined seven dimensions that promote scholarly awareness and support human-AI collaboration.
Extended the SymbioMind v5.1 Bias Influence Detection Protocol for governance in academic settings.
Promoted transparency and competence in human-AI collaboration for students and faculty.
Redefined the professor's role to a developmental partner rather than a compliance officer.
Addressed ecological de-coherence in higher education through tailored governance infrastructure.

Abstract

This working document introduces SHAIR (Stewardship of Human-AI Academic Inquiry andRelationships), a governance framework for universities navigating the integration of artificialintelligence into teaching, assessment, and scholarly practice. SHAIR replaces prohibitive andsurveillance-based approaches to academic integrity with a stewardship model that cultivatestransparency, develops student competence in human-AI collaboration, and renews the professor'srole as developmental partner rather than compliance officer.The framework addresses a condition of ecological de-coherence across global higher education:the simultaneous destabilisation of assessment validity, student wellbeing, faculty purpose,institutional identity, and external legitimacy. SHAIR provides stabilising infrastructure throughseven dimensions of scholarly awareness — Agency and Clarity, Epistemic Stance, ConfidenceCalibration, Attention Guidance, Process Visibility, Intellectual Generosity, and Affective Awareness— that apply equally to human-only and human-AI collaborative work. The document extends theSymbioMind v5.1 Bias Influence Detection Protocol (BIDP) from analytical tool to pedagogicalgovernance, transforming detection channels into developmental dimensions that students andprofessors negotiate together.SHAIR is not a product to be licensed but governance infrastructure to be adapted. Universitiesretain full autonomy over implementation, disciplinary calibration, and institutional governance. Theframework provides architecture; institutions provide contextual wisdom. This document is offeredto Vice-Chancellors and University Guiding Committees as a resource for alignment,self-expression, and collaborative stewardship during a period of profound institutional transition.Keywords: academic integrity, AI governance, higher education, stewardship, human-AI collaboration,transparent scholarship, institutional autonomy, assessment reform, ecological de-coherence, BIDP,SymbioMindClassification: Higher Education Governance | AI Ethics & Policy | Assessment Innovation | InstitutionalStrategy

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