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ownvia · Help Center

Is human quality control still necessary despite AI?

Yes. Modern AI systems can now achieve a very high level of translation quality, but they cannot fully replace the professional responsibility of a human. Especially for technical, medical, legal or safety-related content, human quality control remains an important part of the translation process.

AI can create translations, take terminology into account, identify inconsistencies and provide correction suggestions. However, whether a formulation is technically correct, legally unambiguous or appropriate for the company's language should be checked by qualified translators or subject-matter experts. Combining AI with human expertise delivers high efficiency alongside reliable translation quality.

The key benefits of human quality control

  • Subject-matter assessment: Subject-matter experts assess whether content is technically correct and suitable for the respective area of application.
  • Consideration of context and nuances: People recognise cultural subtleties, linguistic ambiguities and communicative intentions that AI cannot always fully grasp.
  • Compliance with regulatory requirements: For medical, technical or legal documents, specialists check whether legal and normative requirements are met.
  • Protection of the company's language: Brand messages, tone of voice and corporate language are specifically reviewed and implemented consistently.
  • Continuous improvement: Feedback from quality control helps continuously improve glossaries, style guides and AI workflows.

✅ Example from practice

A medical device manufacturer uses AI to translate instructions for use into several languages. The AI creates a pre-translation taking terminology and company knowledge into account. A specialist translator then reviews safety-related information, regulatory wording and linguistic nuances before the document is approved.

✅ Good to know

The international standard ISO 17100 defines requirements for professional translation services. These include, among other things, the revision of a translation by a second qualified person. AI can effectively support and accelerate this process. However, responsibility for the professional review and final approval remains with humans.

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