Why AI-generated content still needs human QA As AI-assisted text generation becomes increasingly integrated into academic and professional writing workflows, AI output is often assumed to be linguistically adequate, particularly for short-form content. However, AI-generated texts frequently exhibit subtle deficiencies that are readily identifiable to trained linguists and subject-matter experts. These include atypical syntactic rhythm, inappropriate register, reduced terminological specificity, and the absence of discipline- or audience-specific conventions. A further concern involves the occurrence of hallucinated content, such as fabricated
Read more -> →AI speeds up writing – Human editors ensure your work is ready for peer review AI has become a normal part of academic writing. Many researchers now use it to clarify phrasing, reorganise paragraphs, and reduce redundancy. Used well, it accelerates early drafting and helps move ideas onto the page quickly. But journals are adapting too. Editors and reviewers increasingly report manuscripts that “sound AI-generated” — not because of detection software, but because AI leaves behind recognisable patterns: unusually smooth
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