Developing Research Area

Graduate Research

This page describes a developing research area, not a finalized thesis. The intent is to make the working direction transparent and to share progress as it accumulates.

Focus Areas

Human-AI Workflow Architecture

How teams structure work when AI systems perform meaningful portions of analytic and operational tasks — division of labor, handoffs, and where human judgment is preserved by design.

AI Oversight

What useful oversight looks like in practice when model outputs are produced faster than reviewers can read them, and when verification itself is partially automated.

Parallel Review & Recursive Iteration

Processes which add dimension to AI workflow Architectures. Lorem ipsum dipsum text

Enterprise AI Governance

Policy, procurement, and internal controls that determine whether enterprise AI deployments produce trustworthy outputs and clear accountability lines.

Working Research Questions
  1. Q01

    How should organizations design review pipelines when first-pass output is produced by AI and subsequent review is partially automated?

  2. Q02

    Where do oversight mechanisms degrade silently as throughput increases, and what early indicators are observable?

  3. Q03

    What does meaningful human-in-the-loop look like once humans review only a sampled fraction of decisions?

  4. Q04

    How do procurement and vendor structures shape the de facto governance regime inside firms?

  5. Q05

    What workflow features predict whether AI deployment improves or degrades decision quality over time?

These questions are exploratory and likely to be refined or replaced as the research matures.

Future Papers & Thesis Updates
  • In progress

    Working paper: A taxonomy of human-AI review architectures

    Draft synthesis of observed review patterns across enterprise and research deployments.

  • Planned

    Case study series on oversight degradation under throughput pressure

    Qualitative interviews and structured observation of mixed-autonomy workflows.

  • Planned

    Thesis proposal — Governance of multi-step AI systems

    Framing the research question, methods, and contribution. Target submission forthcoming.

This work is preliminary. Findings, framings, and questions on this page should be read as work in progress rather than published conclusions.