AI as a co-regulator: relational design for strengthening self-regulated learning
A theoretical framework for understanding how AI can support learners as they plan, monitor, reflect, and adapt without displacing their agency, judgment, or growth.
Writing & Publications
Research and public writing on AI, agency, learning, governance, and public value.
A record of published research, public preprints, framework papers, manuscripts, proceedings, reports, expert contributions, and public-facing scholarship on how AI systems shape human agency, interpretation, accountability, learning, governance, and institutional life.
Publicly available work, manuscript-stage work, and formal contributions are separated by record type and status so the page remains clear, current, and careful about what each item represents.
Peer-reviewed publications
Public preprints
Framework papers
Manuscripts & developing work
Proceedings & expert contributions
Public scholarship
Record Index
Browse by record type.
This page separates public work, manuscript-stage work, formal contributions, applied writing, and citation profiles so visitors can scan the record without losing status clarity.
Published & Public Research
Publicly available work.
Peer-reviewed work, public preprints, and framework papers available to read now, organized to distinguish formal publication from public working papers and conceptual research artifacts.
Legitimacy Under Algorithmic Authority: A Relational Diagnostic of Leadership Education in AI-Mediated Contexts
A relational diagnostic of leadership education in AI-mediated contexts, arguing that algorithmic authority poses a legitimacy challenge when judgment is increasingly co-produced by humans and systems.
Public working papers and conceptual research artifacts available through arXiv and SSRN.
Evaluating Epistemic Guardrails in AI Reading Assistants: A Behavioral Audit of a Minimal Prototype
A behavioral audit of TextWalk, a minimal AI reading-assistant prototype designed to support close reading, structure-first engagement, interpretive humility, and learner-led meaning-making.
Relational Integrity in AI: Preserving Human Agency, Accountability, and Meaning Under Pressure
A diagnostic framework for understanding how AI systems can gradually erode relational integrity through ordinary interaction, shifting role clarity, accountability, authority, and meaning before visible harm appears.
The Relational AI Depth Framework: Relational Depth and Responsibility in Human–AI Engagement
A seven-level framework for understanding how human–AI engagement deepens across interaction contexts, and how responsibility, agency, authorship, and relational risk scale as AI systems become more influential in human thinking, work, and co-creation.
How We Invite AI to Participate: Metaphor and the Implicit Assignment of Authority
A conceptual essay examining how metaphors such as tool, assistant, tutor, mentor, or co-creator structure AI participation, shape role boundaries, and implicitly assign authority in human work.
AI as a Generative Pathway System: How Generative AI Reshapes Possibility, Continuation, and Human Agency
A conceptual model examining how generative AI can shape whether possibilities persist, develop, branch, shift direction, or close over time, with relational integrity and human agency serving as governing conditions for responsible continuation.
The Geometry of Human Participation: The Structural Conditions of Legitimacy in AI-Mediated Systems
A structural account of legitimacy in AI-mediated systems, arguing that meaning, evaluation, and obligation must remain visibly human-borne for participation to stay contestable and accountable.
Manuscripts & Developing Research
Current submissions, abstract-stage work, and manuscripts in progress.
Manuscripts are grouped by current status so submitted, under-consideration, abstract-stage, preparing, and developing work remain legible without implying acceptance.
Status labels describe the current stage of each work only. They do not imply acceptance, publication, or forthcoming status unless explicitly stated.
Work currently with editors or reviewers
Manuscripts and articles that have been submitted, revised, or are presently under review or consideration.
Trust in AI as Legitimate Participation: Role Drift and Interpretive Delegation in Human–AI Interaction
A conceptual reframing of trust in AI around role drift, interpretive delegation, and the conditions under which AI participation remains legitimate, bounded, and contestable in human–AI interaction.
Framing Authority: Designing Human Oversight Before the Output
A feature article for ACM Interactions arguing that meaningful human oversight begins before AI outputs appear, at the level of task framing, assumptions, criteria, role expectations, and option visibility.
Participation structure and interpretive authority: A framework for agentic human–AI co-creation
A submitted manuscript examining participation structure, interpretive authority, accountability, and how agentic AI systems participate in human–AI co-creation beyond simple assistance or output generation.
Authority Migration and Algorithmic Legitimacy in AI-Integrated Knowledge Work
A submitted manuscript examining how authority migrates across AI-integrated knowledge work, and what that means for algorithmic legitimacy, institutional accountability, and human judgment.
Work not yet fully settled in review status
Manuscripts or abstracts that are being prepared for final submission or are awaiting an abstract-stage decision.
The Foresight-to-Practice Gap: Adaptive Coherence for Anticipatory Governance in Higher Education
A redirected manuscript for Policy Futures in Education developing adaptive coherence as a higher-education-specific capacity for translating strategic foresight into anticipatory governance, institutional policy translation, and educational practice under AI-era uncertainty.
Responsibility Architecture in AI-Mediated Education: Rethinking Ethics and the Conditions of Responsible Action
An abstract-stage submission examining responsibility architecture in AI-mediated education, with attention to ethics, institutional conditions, and the structures that make responsible action possible.
Work still being developed
Developing manuscripts and framework work that are not yet represented as submitted or under review.
Rehearsing Technological Futures: LLM-Based Governance Simulation as a Method for Responsible Foresight
A methods-oriented manuscript framing the AI Governance Simulation Lab as an LLM-mediated foresight method for examining role-based responsibility, stakeholder visibility, and governance readiness under uncertainty.
Operationalizing Responsibility Under Infrastructural AI: A Relational Diagnostic Framework
A framework manuscript developing a relational diagnostic approach for examining how responsibility is distributed, obscured, or weakened when AI becomes infrastructural across institutional settings.
Proceedings, Reports & Expert Contributions
Formal contributions beyond journals, preprints, and manuscripts.
Selected contributions to edited proceedings, expert reports, and public-interest research collections where the work appears as part of a broader scholarly or practitioner conversation.
Relational integrity as a child’s right: Truthful relational signals, relational depth and governance boundaries in child–AI interaction
A contribution to Children’s rights under pressure in a digital world, the 2026 Digital Futures for Children / ICA pre-conference proceedings anthology, listed under Theme 5: New technology.
Resilience must be redefined as the sustained capacity to remain active authors of meaning, judgment and responsibility in an AI-mediated world
An expert contribution in Building a Human Resilience Infrastructure for the AI Age, where Matthew Agustin is listed among the featured contributors in Chapter 1 on human agency and autonomy.
Public Scholarship & Applied Writing
A selective translation layer.
Public-facing essays, commentary, applied frameworks, and strategic resources will be added selectively when they extend the research record or make its concepts usable for broader audiences.
Not a loose archive; a curated bridge from research to public use.
This section is reserved for public writing and applied resources that translate the work into accessible, practical, or institution-facing forms without diluting the distinction between formal scholarship, manuscript-stage work, and broader public engagement.
Essays & commentary
Accessible public writing on responsible AI, relational design, agency, learning, and governance.
Applied frameworks
Guides, white papers, and strategic resources that make research concepts usable in practice.
Institutional learning
Writing that supports public-interest implementation, program design, and future-ready reflection.
Research Through-Lines
The thematic spine of the record.
Across formats and venues, the work returns to how emerging systems reshape the conditions for human judgment, participation, responsibility, and public value.
What AI changes about agency, interpretation, accountability, and participation.
The record is organized around the relational and institutional conditions that help people remain active participants in AI-mediated learning, work, governance, and public-interest systems.
Profiles & Citation Links
External research profiles and publication pages.
Verification pathways for publications, preprints, citation tracking, researcher identity, and public-facing writing.
Where the record can be traced, cited, and followed.
These profiles provide external pathways to publications, preprints, citation records, researcher identity, scholarly networks, and public-facing essays.
Contact
Interested in research collaboration, editorial conversation, or public-interest AI work?
I welcome conversations with researchers, editors, educators, institutions, and public-interest teams working on responsible AI, relational AI, human agency, learning, governance, legitimacy, and public value.