Version 1 - 2026Research Paper

Who This Is For: Role Map for AI Alignment Research

A practical map for teams that need to evaluate and govern production AI behavior.

This role map translates the research corpus into the questions different teams need answered when they deploy, buy, evaluate, or govern AI systems.

Table of Contents
  1. AI Product Teams
  2. Prompt Engineers
  3. ML Engineers
  4. Trust and Safety Teams
  5. Compliance Officers
  6. Enterprise Buyers
  7. Executives
  8. Researchers
  9. Support Automation Teams

AI Product Teams

Why they care: product success depends on whether the assistant keeps doing the job users need. AT answers: Are shipped behaviors drifting from the intended product objective? Read first: Executive Summary, then Three-Layer Blueprint.

Prompt Engineers

Why they care: prompt changes can improve tone while weakening task fidelity. AT answers: Which prompt variants reduce allowed-but-off-center drift? Read first: Three-Layer Blueprint, then Casebook.

ML Engineers

Why they care: model updates can change behavior even when benchmarks look stable. AT answers: What changed across batches, detectors, and correction rates? Read first: Methodology.

Trust and Safety Teams

Why they care: policy compliance does not catch every meaningful failure. AT answers: What happens after an output passes safety constraints but still mis-serves the user or objective? Read first: Competitive Positioning.

Compliance Officers

Why they care: regulated deployment requires traceable review and governance. AT answers: How are drift signals logged, reviewed, and escalated? Read first: Methodology and Limitations.

Enterprise Buyers

Why they care: vendor demos can hide long-term behavioral drift. AT answers: Can this system be monitored for objective alignment after purchase? Read first: Executive Summary.

Executives

Why they care: AI failures become operational, reputational, and governance risks. AT answers: What management layer tracks whether AI systems remain fit for purpose? Read first: Executive Summary and Competitive Positioning.

Researchers

Why they care: deployed behavior creates a distinct alignment problem. AT answers: What taxonomy and protocol can be tested empirically? Read first: Literature Review and Limitations.

Support Automation Teams

Why they care: support assistants can become polished but generic, overconfident, or prematurely closing. AT answers: Which interactions need rewrite, reroute, clarification, or human handoff? Read first: Casebook and Methodology.

How to Cite

Citation

Michael Bower. (2026). Who This Is For: Role Map for AI Alignment Research. AlignmentTheory.org. https://alignmenttheory.org/pages/ai-alignment-who-this-is-for.html

@misc{bower2026aialignmentwhothisisfor,
  author = {Bower, Michael},
  title = {Who This Is For: Role Map for AI Alignment Research},
  year = {2026},
  howpublished = {AlignmentTheory.org},
  url = {https://alignmenttheory.org/pages/ai-alignment-who-this-is-for.html}
}

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References

Source
  1. Alignment Theory AI Alignment Research Hub
  2. The Three-Layer Blueprint for AI Alignment
  3. Limitations, Critiques, and Open Problems