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Week 6: Decision-Making and Organization · Lesson 6.4

Ownership model — the AI Reliability Lead

Who owns the data, the metric, and the ship decision, and how do we prevent ambiguity?

Retired course. Due to the fast pace of AI, this course was retired before full release. Exercises, datasets, and videos referenced in this lesson are not available. The slide content and frameworks remain free to study.

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Reader Notes

The course has covered instrumentation, metrics, judges, experiments, and monitoring. The evaluation system works. But who maintains it? Who recalibrates the judges when they drift? Who updates the regression suite when new failure modes appear? Who watches the monitoring dashboard and escalates when something breaks? This lesson teaches how to structure evaluation ownership so every activity has a clear owner, a defined cadence, and an escalation path. Without this structure, an evaluation system decays silently within six months. The lesson covers the RACI framework for assigning ownership, the debt register pattern for tracking unmaintained components, review cadences that prevent "set it and forget it," and escalation paths that get critical issues to decision-makers fast. This is the governance layer that keeps six weeks of evaluation work from decaying.

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