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Glossary

Garbage in, garbage out (GIGO)

What is Garbage in, garbage out (GIGO)?

‘Garbage in, garbage out’ describes the principle that a system can only produce results as good as the data it receives. This applies doubly to AI: incorrect, outdated or one-sided training or knowledge data leads to wrong or biased answers. A chatbot that draws on an outdated price list will quote outdated prices. Looking after data is therefore an ongoing task in every AI project.

How KI.ordo helps

In KI.ordo, too, answers depend on the quality of the knowledge provided; the list of knowledge gaps shows which questions lack clear sources.

Learn more →: Garbage in, garbage out (GIGO)

Topics

  • Data quality
  • Principle
  • Knowledge upkeep

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