Publicly available research
Peer-reviewed publications, arXiv preprints, SSRN preprints, and public framework papers that readers can access directly.
Writing & Publications
Research and public writing on AI, agency, learning, governance, and public value.
A growing record of peer-reviewed publications, public preprints, framework papers, manuscripts, and public-facing scholarship exploring how AI systems shape human agency, interpretation, accountability, learning, and institutional life.
This page organizes published work separately from manuscripts in review or development, so the record remains clear, current, and careful about publication status.
Peer-reviewed publications
Preprints
Framework papers
Manuscripts in review
Public scholarship
Manuscripts and submissions
Work that is submitted, in review, accepted at the abstract stage, or actively in development, with status language kept visible and bounded.
Public scholarship
Essays, reports, commentary, and public-facing writing that translate research on responsible AI, future readiness, and public value for broader audiences.
Published & Public Research
Publicly available work.
These pieces are available to read now. They form the public foundation of the research record across AI, learning, relational integrity, agency, legitimacy, and responsible innovation.
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.
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.
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, accepted abstracts, and work in progress.
This section shows momentum without overstating status. Public links are only included when the work is available to read.
Status language matters here. “Submitted,” “in review,” “abstract accepted,” and “manuscript in development” signal different stages of scholarly work, so each card keeps the distinction visible.
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.
Human Oversight Must Start Before the Output: Framing Authority in Generative and Agentic AI
A short perspective arguing that meaningful human oversight must begin before AI outputs appear, at the level of task framing, assumptions, criteria, role expectations, and option visibility.
Rethinking Agentic Co-Creation: Interpretive Authority and Accountability in Human–AI Work
A developing manuscript on agentic co-creation, interpretive authority, accountability, and how AI systems participate in human work beyond simple assistance or output generation.
Authority Migration and Algorithmic Legitimacy in AI-Integrated Knowledge Work
A manuscript in development examining how authority migrates across AI-integrated knowledge work, and what that means for algorithmic legitimacy, institutional accountability, and human judgment.
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.
Legitimacy Under Algorithmic Authority: A Relational Diagnostic of Leadership Education in AI-Mediated Contexts
A relational diagnostic of leadership education in AI-mediated contexts, focused on algorithmic authority, legitimacy, institutional trust, and the conditions that shape responsible participation.
Relational Integrity in AI-Mediated Learning Conditions: Judgment, Authority, and Participation in Digital Education
A manuscript in development examining how AI-mediated learning conditions shape judgment, authority, participation, and relational integrity in digital education contexts.
Public Scholarship & Reports
Translating research for broader public value.
This section maps the public-facing translation layer of the work: essays, reports, commentary, and applied writing that make research concepts usable beyond formal publication venues.
Public scholarship will be added selectively as pieces are ready to feature. The goal is not to create a loose archive, but to show how formal research translates into public learning, institutional reflection, and responsible innovation practice.
Responsible AI and relational design
Public-facing essays and commentary that translate ideas from relational AI, human agency, and responsible innovation into accessible language for broader audiences.
AI-era readiness and learning
Writing on AI literacy, student agency, future readiness, and the skills people and institutions need to navigate AI-mediated systems with care.
Reports and applied frameworks
Longer-form reports, white papers, and strategic artifacts that connect research concepts to public-interest implementation, program design, and institutional learning.
Writing Themes
The intellectual through-lines.
Across formats and venues, the work returns to a shared concern: how emerging systems shape the conditions for human judgment, participation, and responsibility.
Relational AI, agency, and accountability
Work on relational depth, relational integrity, role drift, interpretive delegation, and the responsibilities that emerge as AI systems become more involved in human work.
AI, learning, and epistemic agency
Research on AI-mediated learning, co-regulation, reading support, epistemic guardrails, learner participation, and the preservation of interpretive agency.
Governance, legitimacy, and public value
Writing on algorithmic legitimacy, authority migration, institutional responsibility, governance simulation, and the conditions needed for accountable AI participation.
Public-interest innovation and future readiness
Public scholarship and strategic work on AI literacy, youth futures, responsible innovation, and future-facing systems that support agency, dignity, and long-term public good.
Frameworks as civic infrastructure
Framework papers that turn complex questions into usable maps, diagnostics, and design lenses for people navigating AI-mediated learning, work, and governance.
Human participation under pressure
A recurring focus on how participation, judgment, authorship, and accountability can become compressed or displaced when systems optimize for speed, fluency, or scale.
Profiles & Citation Links
Research profiles and publication pages.
External profiles for publication tracking, preprints, citations, and public-facing writing.
Google Scholar
Scholar profile for publications and citation tracking.
ORCID
Persistent researcher identifier and scholarly profile.
SSRN
Public preprints and working papers.
arXiv
Preprints and technical research artifacts.
ResearchGate
Research profile and scholarly network presence.
Medium
Public-facing essays and broader commentary.
Writing thesis
“The through-line of this work is not only what AI can produce, but what AI changes about human agency, interpretation, accountability, and participation.”
A research record, not just a list of outputs.
The publications and manuscripts on this page are organized as a developing body of work across relational AI, learning, governance, legitimacy, public-interest innovation, and responsible design.
As the record grows, this page can continue separating public work from manuscripts in progress while showing how each piece contributes to a broader research trajectory.
Agency
Learning
Governance
Public value
Contact
Interested in research collaboration, invited writing, or public-interest AI work?
I welcome conversations with researchers, editors, educators, institutions, and public-interest teams working on AI, agency, learning, governance, legitimacy, and responsible innovation.