Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Dataset Bias

Responsible AI / Safety · Level 2 of 5

Dataset Bias

Systematic skew in data collection, labeling, or representation.

The dataset may omit important deployment populations or conditions.

Example

A face dataset underrepresents certain lighting conditions and skin tones.

Listen to the definition and example

Audio transcript

Dataset Bias. Systematic skew in data collection, labeling, or representation. The dataset may omit important deployment populations or conditions. For example: A face dataset underrepresents certain lighting conditions and skin tones.

Explore this concept

Why it matters

This helps you identify a concrete failure mode or evaluate the limits of a proposed control.

Start with

Dataset

Related concepts

Quick recall question

Try answering before looking back at the definition.

Put the terminology into context: How AI works · Machine-native representations · All learning paths

Manage browser learning data

“Remove my test data” clears all AI 101 and ML 101 scores, reviews, project checklists and rating selections, plus saved vocabulary and recent history in this browser. Test entries cannot be separated from other learning progress. Cookie preferences, security protections, submitted feedback, contact emails and past analytics are kept.