Labeled Decision Case Dataset

Data artifactModel AdaptationModelsarc:LabeledDecisionCaseDataset

A collection of historical cases whose inputs and correct decision outcomes are known, used to induce decision rules.

Responsibility. Supplies labelled examples for rule induction.

Also known as: Training examples, Historical hiring dataset, Historical lending dataset, Historical decision data, Historical lending data, Approval decision training data

Direct neighbourhood (hover for relationship types)

Relationships

is read by dependency

is evaluated by assurance

Proxy Feature Detector Ch9.5

is produced by lifecycle

Override Pattern Analyzer Ch10.4

Design guidance

MUST NOT be treated as ground truth; question whether historical patterns reflect legitimate relationships or past discrimination.
SHOULD have historical labels audited for bias and relabelled with fair criteria where labels reflect past biased decisions (measurement bias).

Sources

Ch5.11: T. Nguyen, "Rule-Based Decision Making Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.11. ISBN: 9798244538229.
Ch9.4: T. Nguyen, "Fairness and Bias Mitigation," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.4. ISBN: 9798244538229.
Ch9.5: T. Nguyen, "Constitutional AI," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.5. ISBN: 9798244538229.
Ch10.4: T. Nguyen, "Human-in-the-Loop," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.4. ISBN: 9798244538229.
Ref9.02: "Responsible AI and Ethical Principles," unpublished reference note (02-Responsible-AI-Ethical-Principles.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note