# Human Review Systems

> Review queues, risk routing, disagreement, calibration, escalation, auditability, and learning from corrections.

Canonical: https://learn.significanthobbies.com/curriculum/concepts/human-review-systems

Review queues, risk routing, disagreement, calibration, escalation, auditability, and learning from corrections.

- Difficulty: core
- Tracks: Evaluation & AI Reliability

## Mental model

Human review is a risk-control system. Route uncertain or high-impact cases, give reviewers evidence and clear rubrics, measure agreement, and feed corrections into evals.



## Primary sources

- [People + AI Guidebook — Feedback + Control (Google PAIR)](https://pair.withgoogle.com/chapter/feedback-controls/) (doc)
- [People + AI Guidebook — Errors + Graceful Failure (Google PAIR)](https://pair.withgoogle.com/chapter/errors-failing/) (doc)
- [NIST AI Risk Management Framework 1.0 (NIST AI 100-1, PDF)](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf) (doc)

## Practice

### Design exercise: Human Review Systems

Review queues, risk routing, disagreement, calibration, escalation, auditability, and learning from corrections. Implement designOutline() returning non-empty values for: riskRouting, reviewRubric, feedbackLoop. Each value must name a concrete mechanism or decision.

**Expected evidence:** A design outline with riskRouting, reviewRubric, feedbackLoop plus an explicit failure mode or trade-off.

## Review prompts

- Review capacity is finite. What decides which cases reach a human, and what do you measure about the reviewers themselves?

## Build evidence

- **Synthesize: Evaluation & AI Reliability** — Build an evidence-backed evaluation and observability system for models, tools, and agents. Produce one working system, benchmark, or evidence-backed design that integrates the path.

## Prerequisites

- [Evidence-backed Verification](https://learn.significanthobbies.com/curriculum/concepts/evidence-backed-verification)

## Related concepts

- [Evidence-backed Verification](https://learn.significanthobbies.com/curriculum/concepts/evidence-backed-verification)

## Learning paths

- [12-Week Evaluation & AI Reliability](https://learn.significanthobbies.com/curriculum/roadmaps/ai-reliability-12w)