As AI assistance becomes routine in research and writing, transparency about how it was used has become an expectation rather than an option. Journals, newsrooms, and employers increasingly require a disclosure statement, and getting the wording and placement right matters. The AI Output Source Attributor generates that statement for the venue you are writing for.
How it works
Enter the AI tool you used and select what it actually did — drafting, editing, brainstorming, research summarization, code, data analysis, translation, or image generation. Choose whether the work is an academic paper, a piece of journalism, or a corporate report, and indicate whether the output was human-reviewed.
The tool then produces appropriately styled text. For academic work it generates a methods or acknowledgement statement of the form used by major publishers, plus an in-text note with the access date. For journalism it produces an editor’s note and a short byline tag. For corporate reports it produces a disclosure footnote and a cover-page tag. In every case, when you mark the output as reviewed, it adds the crucial line that the human authors take full responsibility for the content.
Tips and notes
The single most important principle, reflected across publisher and ethics guidance, is that an AI tool is never an author — it cannot take responsibility, so it belongs in an acknowledgement, not the author list. Keep the human accountability statement in your disclosure; it is what most reviewers and editors look for.
Disclosure norms still vary by venue, so always confirm the specific journal’s, publisher’s, or employer’s current policy before submitting — some require a particular section heading or a checkbox in the submission system in addition to the statement. Use the generated text as a correct, well-formed starting point. Everything is produced locally in your browser, so nothing you enter is uploaded.