Volume 12
Volume 12 - AI Governance and Responsible AI
Volume 12 decides whether an AI system should run, for whom and on what evidence, using the claims assistant that Volume 11 built for an illustrative insurer with 600 adjusters and 30,000 claims a month. Each chapter settles one question with numbers, from how much human review a denial needs and how large a bias audit must be to when an erasure is finished and how many clean red-team trials a gate requires. The volume closes the handbook with an assurance case in Goal Structuring Notation that keeps the assistant at 150 adjusters and widens it in dated steps as the open evidence closes.
Chapters
10
Lesson Reading
7 hr 5 min
Labs
10
Interview Sets
10
What This Volume Covers
Read the sections in order if you are building from scratch. Experienced readers can jump to a section, but the chapters are sequenced to build vocabulary, mental models, implementation judgment, and architecture readiness.