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Whether reviewer comments can be entered into an AI tool depends partly on who is using them and what they contain. Authors working on their own revision face a different confidentiality situation from reviewers handling material entrusted to them during peer review.
Read Guide →Generative AI can help researchers notice possible gaps, inconsistencies, neglected perspectives, and unanswered questions. It cannot establish a genuine research gap unless the relevant literature has been searched and evaluated adequately.
Read Guide →When AI says a topic is understudied or a gap exists, it is making a claim about the literature. That claim becomes evidence only after researchers verify it against an adequate and appropriately searched body of scholarship.
Read Guide →Do not search only the exact wording of an AI-generated research question. Break it into concepts, relationships, populations, and contexts, then search the literature broadly enough to discover substantively equivalent questions.
Read Guide →Generative AI can help researchers discover scientific papers, clarify search concepts, and explore unfamiliar research areas. Its usefulness depends on how it retrieves evidence, how results are verified, and whether the search process can be documented.
Read Guide →Asking generative AI to recommend research papers may help you discover useful studies, but it does not necessarily constitute a literature search. The difference lies in how publications are retrieved, selected, verified, and documented.
Read Guide →Generative AI can suggest potentially seminal research papers, but familiarity, citation counts, and confident recommendations do not establish a study's historical or intellectual significance. Researchers should verify the publications and examine their actual contributions to the development of the field.
Read Guide →Generative AI can suggest influential research papers, but identifying the single most important publication in a field requires defining what importance means. Citation counts, originality, theoretical influence, and practical impact may point to different studies.
Read Guide →Generative AI can help identify recently published scientific research, particularly when connected to current scholarly retrieval sources. However, finding the most recent studies requires distinguishing publication dates from indexing dates, verifying source coverage, and accounting for delays in database updates.
Read Guide →Generative AI can help identify publications that cite a particular study, especially when connected to scholarly citation indexes. However, a generated list does not establish a genuine citation relationship, and incomplete indexing, metadata errors, and retrieval limitations can affect the results.
Read Guide →Generative AI can help researchers identify cited and citing publications, explore citation networks, and prioritize potentially relevant studies. However, it cannot automatically replace forward and backward citation chaining because genuine citation relationships, source coverage, and search completeness require verification.
Read Guide →An AI-assisted literature search may be unsuitable as the primary search method for a systematic review when its sources, retrieval procedures, or selection decisions cannot be adequately examined. Reproducibility requires more than saving prompts, although some limitations can be managed through transparent reporting and supplementary verification.
Read Guide →Generative AI can suggest academic references, but convincing citations are not necessarily real or accurate. Learn what makes AI-generated references unreliable, how to assess them, and when they can be used responsibly.
Read Guide →Generative AI can invent convincing academic references because generating plausible text is different from retrieving verified scholarly records. Learn why citation hallucinations occur, why they can be difficult to detect, and what researchers can do to reduce the risk.
Read Guide →Finding a real research paper is only the beginning. Before citing an AI-suggested publication, researchers must verify its bibliographic identity, examine what the study actually found, assess its relevance, and check whether the evidence supports the manuscript's claim.
Read Guide →A DOI can identify a genuine publication without confirming that the paper supports the claim attached to it. Learn the difference between DOI verification and evidence verification, and how to check whether a citation genuinely supports your argument.
Read Guide →A research paper can be genuine while the findings AI attributes to it are incorrect. Learn how generative AI misrepresents real studies, why DOI verification is insufficient, and how to check whether a source supports a particular claim.
Read Guide →Generative AI may correctly identify a published article while assigning the wrong authors, author order, or publication year. Learn how these errors differ from fabricated citations and how to verify bibliographic details against authoritative records.
Read Guide →An AI-generated reference may contain real authors, a genuine journal, and a valid DOI while identifying no actual publication. Learn how these hybrid citations can arise, why individual metadata checks may be misleading, and how to verify that every detail belongs to the same scholarly work.
Read Guide →Copying an unverified AI-generated reference list directly into a manuscript can introduce fabricated papers, incorrect metadata, and unsupported citations. Learn when AI-assisted bibliographies may be used and what researchers should check before submission.
Read Guide →Generative AI can help format academic references, but its output may contain citation-style mistakes or altered bibliographic details. Learn when AI-assisted formatting is useful, how to recognize errors, and why verified source records and reference managers remain important.
Read Guide →Generative AI can convert references between citation styles, but conversion may introduce formatting errors, missing details, or changes to bibliographic metadata. Learn when AI-assisted conversion is useful and why structured reference managers are often a safer choice.
Read Guide →AI can format academic references without preserving every bibliographic detail accurately. Learn why formatted citations still require verification, when to consult the original publication, and how reference managers can help detect errors.
Read Guide →Generative AI can help identify repeated or potentially duplicate references, but differences in titles, authors, DOIs, and publication versions can complicate detection. Learn how to distinguish genuine duplicates from related publications and when reference managers offer a safer approach.
Read Guide →Generative AI can help identify potentially retracted research papers, but its responses may be outdated, incomplete, or incorrect. Learn how to verify retraction status through authoritative records and why a working DOI or published article page does not establish that a paper remains reliable.
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