Which data-labeling approach uses a two-step process where labeling is first done by a tool and then verified or completed by a human?

The correct answer is D. AI-assisted data labeling. Section2.4 - Data Labeling Approachesof the ISTQB CT-AI syllabus explicitly definesAI-assisted data labelingas a hybrid process in which an automated tool performs the initial labeling and human annotators subsequently verify, correct, or complete the labels. This two-step…

Machine Learning (ML)

Question

Options

AInternal data labeling
BCrowdsourced data labeling
COutsourced data labeling
DAI-assisted data labeling

How the community answered

(44 responses)

A
7% (3)
B
5% (2)
C
11% (5)
D
77% (34)

Explanation

Section2.4 - Data Labeling Approachesof the ISTQB CT-AI syllabus explicitly definesAI-assisted data labelingas a hybrid process in which an automated tool performs the initial labeling and human annotators subsequently verify, correct, or complete the labels. This two-step process improves efficiency while retaining human oversight to ensure data quality. The syllabus describes this method as an effective compromise when manual labeling alone would be too slow or costly, and when initial automation can identify obvious patterns before a human provides the final authoritative labels.

Topics

#data labeling#AI-assisted labeling#ML workflow#human-in-the-loop

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