Yes. Modern AI systems can now achieve a very high level of translation quality, but they cannot completely replace the professional responsibility of a human. Human quality control remains an important part of the translation process, particularly for technical, medical, legal or safety-critical content.
AI can create translations, take terminology into account, identify inconsistencies and provide correction suggestions. However, whether a formulation is professionally accurate, legally unambiguous or appropriate for the company’s language should be checked by qualified translators or subject-matter experts. Combining AI with human expertise brings together high efficiency and reliable translation quality.
The key benefits of human quality control
- Professional assessment: Subject-matter experts assess whether content is professionally accurate and suitable for the relevant area of application.
- Taking context and nuances into account: People recognise cultural subtleties, linguistic ambiguities and communicative intentions that AI cannot always fully capture.
- 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 to continuously improve glossaries, style guides and AI workflows.
✅ Real-world example
A medical device manufacturer uses AI to translate instructions for use into several languages. The AI creates a pre-translation while taking terminology and corporate knowledge into account. A specialist translator then reviews safety-critical 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.