AI Terminology Is Poorly Defined and Oft Misused
The article discusses how terminology in the field of artificial intelligence is poorly defined and frequently misused, leading to widespread confusion. Terms like 'AI' and 'large language model' are often used imprecisely, with little distinction between models, interfaces, and systems. The rapid public adoption of AI technologies without standardized language has created a 'linguistic debt,' undermining clear communication despite efforts like ISO/IEC 22989 to establish definitions.
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Essay AI Terminology is Poorly Defined and Oft Misused 2409 words 28 Apr 2026 #AI#LLMs Tune into any discussion of the technologies widely referred to as ‘artificial intelligence’, and you’ll find that terminology is all over the place. Language is forever fluid and evolving, and with a field as quickly moving and with as much marketing influence and buzzwords as artificial intelligence, it isn’t surprising that things are a mess. What was a deeply technical community with generally agreed-upon terminology was largely burst open with the wide release of ChatGPT. Suddenly, a lot more people were exposed to modern AI, and marketing-led commentary thrust a deeply technical topic haphazardly into simple terms. Now we’re stuck with a linguistic debt.
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