This section has no reviewed German translation yet. The English edition 1.0 is shown below.

READER MODELong-form reading surface.

§2.1 · FOUNDATIONS · 6 MIN READ · EDITION 1.0

AI fundamentals for quality professionals

Quality teams do not need to become data scientists. They need to recognise what a method is good at, how it fails and how to control the task.

Language models generate plausible text from the information provided; fluency is not evidence of correctness. Context is limited, and a decision about what evidence is retrieved has major influence on the result.

Traditional software is deterministic. AI can be probabilistic, so the relevant controls are task-level performance, coverage, missed findings, false findings, traceability and human acceptance rather than byte-for-byte matching.

PUT THIS INTO PRACTICE

  1. 01Use deterministic rules where a deterministic rule fits.
  2. 02Record the source and exact location behind each finding.
  3. 03Measure missed and false findings on known cases.

RELATED INSTRUMENTS

CITE THIS SECTION

§2.1 · Edition 1.0 · AI fundamentals for quality professionals

English is the authoritative text of this edition. Where a translation differs, the English text governs.