---
title: "Supervised learning"
description: "Learning from labelled examples."
canonical: https://aigovernanceengineer.com/glossary/supervised-learning
author: "Jorge García Aibar"
license: "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)"
doi: https://doi.org/10.5281/zenodo.22956197
version: "0.5.0"
updated: 2026-09-24
---

# Supervised learning

Learning from labelled examples [1]. Labels encode past human decisions with their errors and bias, so the data card records label provenance and the eval gate tests error rates by subgroup.

- Developed in: [ch. 11, By learning paradigm](https://aigovernanceengineer.com/bok/ai-defined#by-learning-paradigm)
- Chapters: [ch. 11, AI Defined](https://aigovernanceengineer.com/bok/ai-defined)
- Contrast with: [Unsupervised learning](https://aigovernanceengineer.com/glossary/unsupervised-learning)
- In the glossary chapter: https://aigovernanceengineer.com/bok/glossary#t-supervised-learning

## Sources

[1] ISO/IEC 22989:2022, Artificial intelligence concepts and terminology (referenced by identifier only; autonomy and heteronomy; clause 5.11 machine learning approaches: supervised, unsupervised, semi-supervised, reinforcement). ISO/IEC. 2022-07. https://www.iso.org/standard/74296.html (verified: secondary)