Artificial Intelligence in Research
Extensive AI assistance does not reduce a researcher's responsibility for the accuracy and integrity of a manuscript. Learn how authorship accountability applies when AI contributes to writing, analysis, interpretation, and other substantive research activities.
Read Guide →
Artificial Intelligence in Research
AI use may need to be reported in the acknowledgments, methods section, a dedicated declaration, or multiple submission locations. Learn how to select the correct placement according to the tool's role, journal requirements, and the information readers need to evaluate the research.
Read Guide →
Artificial Intelligence in Research
Ambiguous journal AI disclosure policies can leave researchers uncertain about what to report and where. Learn how to distinguish policy silence from permission, reconcile publisher and journal instructions, request editorial clarification, and document AI assistance without inventing requirements.
Read Guide →
Artificial Intelligence in Research
Researchers should consider keeping records of consequential AI assistance, particularly when it influences research methods, evidence, analysis, or findings. Learn what documentation can establish, which interactions warrant preservation, and how AI-use records support transparency without requiring researchers to archive every conversation.
Read Guide →
Artificial Intelligence in Research
Researchers should document how consequential AI outputs were verified, particularly when they influence research methods, evidence, analysis, or findings. Learn what constitutes meaningful verification, how to preserve supporting evidence, and why claiming that AI-generated content was reviewed is not equivalent to demonstrating that it was checked.
Read Guide →
Artificial Intelligence in Research
Using AI during peer review can violate confidentiality when unpublished manuscript information is disclosed to an unauthorized system. Learn why confidentiality extends beyond uploading PDFs, how publisher policies differ, and what safeguards reviewers must observe.
Read Guide →
Artificial Intelligence in Research
Generative AI may help reviewers make their comments clearer, more constructive, and professionally worded. However, even language editing can introduce confidentiality risks or change the meaning of a criticism. Learn when such assistance may be permitted and how reviewers should verify the final report.
Read Guide →
Artificial Intelligence in Research
Peer reviewers should not include AI-generated criticisms they cannot personally understand or defend. Learn why technical language can conceal incorrect recommendations, how to investigate unfamiliar concerns, and when specialist expertise is more appropriate than AI assistance.
Read Guide →
Artificial Intelligence in Research
Generative AI can produce technically convincing peer-review comments that are irrelevant to a manuscript's design, objectives, or findings. Learn how to recognize misplaced criticisms, distinguish methodological alternatives from genuine weaknesses, and prevent unsupported AI feedback from influencing editorial decisions.
Read Guide →
Artificial Intelligence in Research
Journal editors may use AI to support selected manuscript-screening and editorial tasks, but automated assessments can introduce confidentiality, accuracy, and fairness concerns. Learn which applications may be appropriate, how editorial AI differs from reviewer AI use, and why consequential publication decisions require accountable human judgment.
Read Guide →
Artificial Intelligence in Research
Authors may have legitimate reasons to know when AI materially influences editorial assessment, particularly rejection or revision decisions. Learn how disclosure differs from permission, why routine automated checks require different consideration, and how journals can make AI-assisted editorial decisions more transparent and accountable.
Read Guide →
Artificial Intelligence in Research
AI-assisted peer review may introduce or reinforce biases affecting which manuscripts receive favorable assessments. Learn how methodological conventions, language patterns, research contexts, and automation bias can shape AI-generated evaluations, and how journals can test for unfair differences.
Read Guide →
Artificial Intelligence in Research
Generative AI can help researchers turn lengthy reviewer reports into a structured revision action plan. Learn how to preserve every comment, identify overlapping requests, distinguish scientific revisions from editorial changes, and verify that the final plan accurately represents what reviewers asked.
Read Guide →
Artificial Intelligence in Research
Generative AI may help identify reviewer comments that appear to request new statistical or qualitative analyses. However, authors must distinguish actual analytical requirements from requests for clarification, assess whether additional analyses are justified, and avoid conducting unnecessary or misleading tests merely to satisfy generated revision plans.
Read Guide →
Artificial Intelligence in Research
Generative AI can help authors respond professionally to harsh, confusing, or demanding reviewer comments. However, politeness should not come at the expense of scientific accuracy. Learn how to acknowledge criticism, explain revisions, and disagree respectfully without making unsupported concessions or promising work that was never completed.
Read Guide →
Artificial Intelligence in Research
Reviewer comments may contain confidential editorial information and unpublished research details. Uploading them to an AI tool can create disclosure and data-handling risks, even when the authors received the comments legitimately. Learn when processing may be permitted, what safeguards matter, and why removing names does not necessarily eliminate confidentiality concerns.
Read Guide →
Artificial Intelligence in Research
AI-assisted manuscript revisions and response-to-reviewers letters should be checked against the actual manuscript, analyses, and reviewer requests. Learn how to identify invented changes, unsupported claims, and discrepancies before resubmission.
Read Guide →
Artificial Intelligence in Research
AI assistance in a response-to-reviewers letter may require disclosure depending on the journal's policies and the nature of the assistance. Learn how to distinguish routine language correction from substantive drafting, where disclosure belongs, and how to avoid unnecessary or incomplete declarations.
Read Guide →
Artificial Intelligence in Research
Authors remain responsible for every factual claim, explanation, and promised revision in an AI-assisted response-to-reviewers letter. Learn how to verify AI-generated responses and avoid misrepresenting manuscript changes.
Read Guide →
Artificial Intelligence in Research
Generative AI can recommend convincing academic journals that do not exist, sometimes accompanied by fabricated publishers or indexing claims. Learn how to recognize these errors and verify journal identities before submission.
Read Guide →
Artificial Intelligence in Research
Generative AI may recommend journals that have ceased publication or lost indexing coverage. Learn how to distinguish discontinued journals from delisted titles and verify their current status before submitting a manuscript.
Read Guide →
Artificial Intelligence in Research
Generative AI can help identify warning signs associated with predatory publishing, but it cannot reliably determine whether a journal is predatory on its own. Learn how to evaluate journal credibility using verifiable evidence rather than AI-generated labels.
Read Guide →
Artificial Intelligence in Research
Generative AI can help compare journal publication fees, but its figures may be outdated or incomplete. Learn how to verify APCs, waivers, additional charges, and publication routes before choosing a journal.
Read Guide →
Artificial Intelligence in Research
Generative AI can help compare journal publication timelines, but reported review speeds may be outdated or misleading. Learn how to interpret editorial metrics and distinguish rapid desk rejection from genuinely efficient peer review.
Read Guide →
Artificial Intelligence in Research
Generative AI can help interpret journal open-access policies, but its advice may overlook licensing restrictions, embargoes, and manuscript-sharing conditions. Learn how to verify publication routes and author rights using current official sources.
Read Guide →
