Can Generative AI Suggest Polite Responses to Difficult Reviewer Comments?

Can AI Help You Respond Professionally When a Reviewer's Comments Feel Unfair?

You receive a major revision decision after months of preparing a manuscript. Most reviewer comments are constructive, but one reviewer is unusually critical.

The reviewer describes the theoretical framework as weak, questions whether the authors understand their chosen methodology, and demands analyses that may not be appropriate for the study.

Your initial response is understandably defensive. You want to explain why certain criticisms are mistaken, but you also recognize that the response letter will be read by the editor and possibly the same reviewer.

Generative AI seems useful for transforming an emotionally charged draft into a professional response. It can suggest more diplomatic wording, remove unnecessarily confrontational expressions, and help organize the scientific explanation.

But could AI make the response excessively apologetic, concede a methodological point that should be defended, or promise revisions that the authors have no reason to make?

AI Can Improve Professional Tone Without Requiring Scientific Concessions

How AI Can Support Professional Communication During Difficult Manuscript Revisions

Why Difficult Reviewer Comments Require Careful Responses

Peer review is intended to improve the quality and credibility of scholarly work, but reviewers may disagree with authors about theoretical assumptions, methodological choices, or the significance of findings.

Some comments are difficult because they identify genuine weaknesses requiring substantial revision. Others may be unclear, disproportionate, or based on an interpretation that does not match the manuscript.

Authors should distinguish the substance of the criticism from the tone in which it was expressed.

A harshly worded comment may contain a legitimate concern. Conversely, a politely phrased recommendation may still be methodologically inappropriate.

The response should address the scientific issue rather than reproduce the emotional tone of the exchange.

What Can AI Improve in a Difficult Reviewer Response?

When journal policies permit the intended assistance, generative AI may help authors revise how they communicate an independently established response.

The value of AI assistance lies in improving communication. It should not independently decide whether the authors were wrong or which scientific changes are necessary.

Politeness Is Not the Same as Agreement

Academic courtesy requires treating reviewers respectfully, but it does not require accepting every recommendation.

For example, a reviewer may request statistical power calculations for an interpretive qualitative study. The authors may reasonably explain why that procedure does not align with the research design.

A polite response might acknowledge the reviewer's concern about methodological adequacy before explaining the quality criteria appropriate to the chosen approach.

The authors need not claim that the reviewer is correct merely to sound cooperative.

Professional disagreement can be both respectful and intellectually firm.

AI Can Become Excessively Agreeable

Generative AI may produce responses that emphasize agreement, gratitude, and accommodation, particularly when prompted to make writing more diplomatic.

This can be useful when the original draft is unnecessarily confrontational. However, excessive agreement may distort the authors' scientific position.

For example, an AI-generated response might begin, "We fully agree that our methodological approach was inadequate," even when the reviewer merely questioned whether the approach was appropriate.

Such a concession could misrepresent the study and create expectations for unnecessary revisions.

Authors should distinguish acknowledging a concern from accepting the reviewer's interpretation.

These responses serve different purposes and should not be treated as interchangeable.

How Should Authors Respond to an Incorrect Methodological Criticism?

The response should identify the concern, explain the relevant methodological principle, and clarify how the manuscript addresses the issue.

Suppose a reviewer argues that an observational study cannot produce any meaningful findings because it lacks random assignment.

The authors may explain that the study aims to estimate associations rather than causal effects. They should also verify that their conclusions are consistent with that objective.

If the manuscript uses ambiguous causal language, the reviewer may have identified a genuine reporting problem even if the broader criticism is overstated.

A constructive response may therefore combine methodological disagreement with a limited revision that improves clarity.

What If the Reviewer's Tone Is Personally Critical?

Comments about an author's competence, motives, or personal characteristics are generally less constructive than criticism directed toward the manuscript.

Authors need not respond in kind.

For example, rather than writing, "The reviewer clearly misunderstood our analysis," authors might explain which part of the manuscript describes the relevant procedure and whether additional clarification has been added.

If a comment is abusive, discriminatory, or seriously inappropriate, authors may raise the issue with the handling editor through the journal's established process.

AI may help remove emotionally charged language from a draft, but it should not be used to conceal legitimate concerns about the fairness of the review process.

Why Excessive Apologies Can Be Misleading

AI-generated responses sometimes include elaborate apologies even when the authors have not established that an error occurred.

For example, "We sincerely apologize for our serious methodological oversight" may be inappropriate when the issue concerns a missing explanation rather than a defective analysis.

A more accurate response would acknowledge that the original description was insufficiently clear and identify the clarification added.

Apologies are appropriate when warranted, but they should not substitute for precise statements about what was wrong and what was corrected.

Academic courtesy does not require accepting responsibility for errors that have not been demonstrated.

Can AI Help Authors Explain Why They Declined a Requested Analysis?

Yes, where permitted, AI may help improve the wording of a methodological explanation that the authors have independently established.

For example, a reviewer may request subgroup analyses that the available sample cannot support with meaningful precision.

The authors may explain that the analyses were not prespecified and that small subgroup sizes would produce unstable estimates.

They might also acknowledge the underlying question as an appropriate direction for future research.

AI should not invent statistical justifications or cite nonexistent methodological literature to strengthen the disagreement.

The more detailed issue of using AI to explain disagreement with a reviewer requires independent verification of the scientific argument.

Do Not Let AI Promise Revisions Merely to Sound Cooperative

One danger of overly accommodating language is that AI may suggest commitments the authors have not approved.

A generated response might state, "We have conducted the requested sensitivity analysis," or "We will collect additional data to address this concern."

Such statements are inappropriate unless they accurately reflect completed work or an explicitly approved and feasible commitment.

Authors should distinguish completed revisions, planned actions, and requests they have decided not to adopt.

For a final resubmission, the response letter should primarily describe what was actually completed and provide defensible explanations for any unresolved recommendations.

Should Authors Thank Reviewers for Every Comment?

Brief acknowledgment is generally appropriate, but repetitive expressions of gratitude can make a response letter unnecessarily long.

For example, beginning every response with several sentences thanking the reviewer for an insightful and valuable suggestion may obscure the actual revision.

Authors can acknowledge comments concisely and proceed to the substantive explanation.

AI-generated language should be edited to remove formulaic praise, particularly when the comment is routine or the authors disagree with its premise.

Respectful communication is better demonstrated through careful engagement with the concern than through repeated compliments.

Can AI Help When Reviewer Comments Contradict One Another?

AI may help identify conflicting recommendations and organize the possible responses.

For example, one reviewer may ask for a substantially expanded discussion, while another recommends shortening the manuscript.

The authors should consider whether both concerns can be addressed through a more focused discussion rather than simply choosing one reviewer over the other.

Where the recommendations involve incompatible methodological changes, clarification from the handling editor may be appropriate.

AI can assist with presenting the explanation, but the authors and editor must resolve the substantive conflict.

Why Reviewer Comments and Response Drafts May Be Confidential

Reviewer reports may contain unpublished research details, editorial correspondence, or other material subject to journal restrictions.

Authors should check the journal's AI-use policies and applicable confidentiality requirements before entering reviewer comments or manuscript content into an external AI system.

Even a request to improve tone may disclose confidential information if the supplied text describes unpublished methods or findings.

Where permitted, authors should use appropriately authorized tools and limit the information shared to what is necessary.

AI-assisted writing should not compromise the confidentiality of the manuscript revision process.

How Should the Final Response Be Verified?

Authors should compare the AI-assisted response with the original reviewer comment, their documented revision decisions, and the revised manuscript.

The final wording should accurately describe whether the concern was accepted, partially addressed, clarified, or respectfully declined.

Any methodological explanation should be supported by appropriate evidence, and every claimed manuscript change should be verifiable.

Page and line references should be checked against the actual revised document.

The response should remain professional without becoming misleadingly agreeable or unnecessarily confrontational.

Responding Politely to a Reviewer Who Demands an Inappropriate Analysis

The final response is appropriate only if the authors actually made the stated clarifications. Otherwise, the last sentence should be revised to reflect the work completed.

The example illustrates that respectful disagreement can acknowledge a reviewer's concern while rejecting a methodologically inappropriate recommendation.

The objective is to clarify the scientific reasoning, not to win an argument through rhetorical sophistication.

Misconceptions About Polite AI-Assisted Reviewer Responses

How to Use AI to Improve Difficult Reviewer Responses Without Losing Scientific Precision

Authors should first decide whether the reviewer has identified a genuine weakness, a reporting ambiguity, or a recommendation they can reasonably decline.

Once that decision is established, permitted AI assistance may help communicate the response professionally.

Prefer Clear Scientific Explanations Over Elaborate Diplomacy

A strong response identifies the concern and explains the action taken or the reason for disagreement.

Authors should avoid both hostile rebuttals and excessively deferential language that conceals their scientific position.

Where AI is used, its role should be limited to authorized assistance, and the final wording should reflect the authors' actual reasoning.

The most effective response is not necessarily the most apologetic. It is the one that treats the reviewer respectfully while accurately explaining the scientific decision.

Checklist for AI-Assisted Responses to Difficult Reviewers

Frequently Asked Questions About AI and Difficult Reviewer Comments

Be Respectful Without Surrendering Scientific Judgment

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