Professional headshot of Jermaine E. Whiteside

Scholarly Portfolio

Jermaine E. Whiteside

Doctoral Researcher · Governance Science · AI Ethics · Christian Leadership

Research focused on governance, institutional accountability, artificial intelligence, education, and evidence systems—connecting theoretical development with applied organizational and community practice.

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Research at a Glance

Five connected research domains

The portfolio is organized around recurring questions of governance, human agency, evidence, institutional design, and responsible technology.

Governance Science

Institutional accountability, constitutional governance, distributed responsibility, and governance architecture.

Faithful Intelligence

Human–AI pedagogical collaboration, ethical governance, learning formation, and digital responsibility.

AI-Readable Scholarship

Governed machine-readable editions, evidence relationships, manifests, retrieval, and semantic reconstruction.

Education & Leadership

Christian leadership, learning systems, doctoral research, educational practice, and scholarly development.

Applied Policy Research

Estate planning, senior housing, community policy, institutional trust, and evidence-generating operational research.

Flagship Contributions

Research explained at two levels

Formal concepts remain intact while plain-language summaries make the work easier to enter for non-specialist readers.

Faithful Intelligence Theory

A theory of human–AI pedagogical collaboration centered on human agency, ethical governance, and learning formation.

In plain language: How can people use AI to improve learning without surrendering judgment, responsibility, or ethical control?

Governance Science

A developing body of work examining how institutional structures distribute authority, accountability, evidence, and control.

In plain language: How should organizations be designed so responsibility is clear and governance can actually be tested?

Whiteside Literature Review Standard

A constitutional framework treating scholarly evidence as a governed intellectual asset rather than temporary writing material.

In plain language: Research sources should remain traceable, reusable, and governed after a paper is finished.

AI-Readable Editions

A governed publication architecture for supplying authoritative machine-readable representations alongside canonical scholarly editions.

In plain language: Publishers should tell machines what a work is, how it is structured, and what is authoritative instead of forcing AI systems to reconstruct it.

Latest Scholarly Activity

Recent verifiable activity

Current highlights are surfaced here; the full record remains available in the governed CV and evidence archive.

Doctoral Research

Dissertation-in-Praxis: implementation is now being documented as a governed evidence sequence.

Follow the research problem, governance constructs, applied praxis, defense preparation, and weekly public Governance Updates through a dedicated dissertation record.

View Dissertation Record

Applied Scholarship

See how research and governance frameworks move into governed practice.

The Applied layer preserves implementation evidence separately from the dissertation and cross-links material relationships.

View Applied Record

Evidence CV Pilot

A CV that can show the evidence behind its claims.

The Education pilot links degree, academic-history, and university-service claims to governed evidence with visible verification states and stable IDs.

View Evidence CV
Latest Working Paper

From Procedure to Understanding: Predicate Knowledge, Apparent Procedural Competence, and the Robustness of Mathematical Performance in Algebra I

Read on SSRN →
Peer Review

AERA 2027 Annual Meeting review cycle: two reviews completed; one pending as of Aug. 19, 2026.

View service record →

Evidence & Verification

This portfolio is backed by a governed evidence layer.

The public site presents the scholarly narrative. The evidence archive, RSS feed, machine registry, and external identity authorities preserve the verification structure underneath it.