When using AI for writing, how can we ensure the originality of the article content?

Preserving content originality when utilizing AI writing tools is achievable through a combination of algorithmic techniques and disciplined human oversight. Plagiarism detection algorithms and AI models designed to generate novel text form the technical foundation. Several principles are paramount. Firstly, user input should comprise original prompts rather than verbatim copyrighted text. Secondly, employing robust plagiarism detection software on the AI-generated output is non-negotiable before publication. Thirdly, maintaining transparent documentation of both the AI tool used and the human prompts provided establishes provenance. Furthermore, outputs exceeding acceptable similarity thresholds require significant human revision or complete regeneration. Over-reliance on identical prompts for repeated content generation significantly increases originality risks. Implementing this involves a procedural workflow: input unique source material and specific prompts; generate draft content; rigorously analyze drafts using certified similarity detection tools; meticulously revise flagged sections or regenerate entirely; and finally, properly attribute any supporting external sources integrated during editing. This diligence safeguards intellectual integrity, maintains scholarly standards, and mitigates plagiarism risks in professional and academic contexts.