📖Definition
The quality difference between AI outputs in data-rich and data-poorer languages. Users working in data-poorer languages receive less precise, less nuanced responses, while the disparity remains largely unnoticed by those it does not affect. It is recognizable when output quality tracks the volume of training data behind a language.
Der Qualitätsunterschied zwischen KI-Ausgaben in datenreichen und datenärmeren Sprachen. Wer in datenärmeren Sprachen arbeitet, erhält weniger präzise, weniger nuancierte Antworten, während das Gefälle von den nicht Betroffenen weitgehend unbemerkt bleibt. Es wird erkennbar, wenn die Ausgabequalität dem Datenvolumen hinter einer Sprache folgt.
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Verantwortlich i.S.d. §18 Abs. 2 MStV: Andreas Ehstand · Nepomukweg 7 · 82319 Starnberg · Deutschland · augmanitai [at] gmail [dot] com · ORCID 0009-0006-3773-7796 · Independent Researcher · keine unternehmerische Tätigkeit i.S.d. §2 UStG.