Discover how AI is changing Academic Journal editorial workflows, from manuscript screening and reviewer support to faster, more informed editorial work.
TL;DR
- AI helps journal teams handle repetitive editorial tasks more efficiently.
- AI-assisted manuscript screening can save editors significant time.
- AI can support editors and reviewers without replacing academic judgement.
- Responsible AI use requires human oversight and clear policies.
- Alkademy Press brings AI-assisted capabilities into the journal editorial workflow.
Academic journal editors handle much more than publication decisions. They review submissions, check requirements, coordinate reviewers, assess revisions, and keep manuscripts moving through the editorial process.
As submission volumes increase, many of these tasks can become repetitive and time-consuming. AI is changing this by helping editors process information, identify potential issues, and manage routine work more efficiently.
Alkademy Press brings AI-assisted tools into a fully hosted journal management system, alongside manuscript submission, peer review, and publishing. The focus is on supporting editors while keeping academic judgement with the people responsible for it.
Where AI Is Changing the Editorial Workflow
AI can support different stages of the editorial process, from submission to revision assessment.
Manuscript Intake
AI can help organise submission information, identify missing details, and flag items that may need attention before an editor begins a full assessment.
Initial Manuscript Screening
AI-assisted screening can help identify potential issues such as:
- Missing submission information
- Formatting inconsistencies
- Similarity or duplication concerns
- Basic journal requirement issues
- Items requiring closer editorial review
These checks give editors useful information without making the final decision for them.
Editorial Triage
AI can organise manuscript information and surface signals that may help editors prioritise submissions. This can be particularly useful for journals handling large submission volumes.
The editor remains responsible for interpreting the information and deciding how the manuscript should proceed.
Reviewer Support
AI can help organise manuscript information and make relevant details easier to work with during peer review. This can reduce administrative effort while allowing reviewers to focus on scholarly evaluation.
AI should support reviewer expertise, not replace it.
Revision Assessment
AI can help editors compare manuscript versions, organise feedback, and highlight areas that may need another look.
Editors still determine whether the authors have adequately addressed reviewer and editorial comments.
What AI Can Do for Editors
AI is most useful when it supports tasks that consume time without requiring the editor to surrender academic judgement.
Reduce Repetitive Tasks
AI can assist with routine checks, submission organisation, and information processing, giving editors more time for substantive decisions.
Process Information Faster
Editors often work through manuscripts, reviewer comments, and author responses. AI can help organise this information and make relevant details easier to find.
Surface Potential Issues
AI can flag inconsistencies, missing information, or other potential concerns for an editor to investigate. A flag is not proof of a problem or a final decision.
Organise Editorial Information
AI can help structure information from manuscripts, reviews, editorial notes, and revisions, making complex workflows easier to follow.
Support Higher Submission Volumes
For journals managing growing submission volumes, AI can reduce the manual effort involved in routine editorial work and help teams maintain a consistent process.
AI-Assisted Editorial Workflows in Practice
AI becomes most useful when it is built into the stages editors already work through. Instead of creating a separate AI process, journal teams can use it to support specific tasks within the existing workflow.
Before an Editor Reviews a Manuscript
AI can perform preliminary checks before a manuscript reaches an editor’s desk. It can review submission information, identify missing details, and flag potential issues that may need attention.
This gives editors a clearer starting point and reduces time spent on basic checks.
During Editorial Assessment
Editors can use AI to organise manuscript information and surface details relevant to their assessment. It can help highlight potential concerns or summarise information that would otherwise take longer to review manually.
The editor remains responsible for deciding whether the manuscript fits the journal and how it should proceed.
During Peer Review
AI can support the coordination and organisation of peer review by helping editors and reviewers work through manuscript information and feedback.
It can reduce administrative work, but the scholarly evaluation remains with qualified reviewers and editors.
During Revision
When authors submit revisions, AI can help compare versions, organise reviewer comments, and identify areas that may require further attention.
This gives editors a quicker way to review what has changed without removing their responsibility for evaluating the revision.
Before Publication
AI can support final checks by helping identify missing information, inconsistencies, or other items that require attention before publication.
These tools can add another layer of quality control, while the editorial team makes the final decision about publication.
What AI Should Not Replace in Academic Publishing
AI can make editorial workflows more efficient, but some responsibilities should remain firmly with people.
Editorial Judgement
Editors decide whether a manuscript is suitable for their journal and whether it meets the required academic and editorial standards. AI can provide supporting information, but it should not make these decisions independently.
Peer Reviewer Expertise
Peer review depends on subject knowledge, critical thinking, and professional judgement. AI may assist with information handling, but it cannot replace the expertise of qualified reviewers.
Ethical Decisions
Questions involving research integrity, conflicts of interest, authorship, misconduct, and other ethical concerns require careful human assessment. AI can flag potential issues, but editors must investigate and determine the appropriate response.
Accountability
Journal editors and publishers remain accountable for editorial decisions and the integrity of the publishing process. Using AI does not transfer that responsibility to the technology.
The Risks of AI in Academic Journal Workflows
AI can make editorial work more efficient, but it also introduces risks that journal teams need to manage. Understanding these risks helps publishers use AI as a support tool without giving it more responsibility than it can safely handle.
Incorrect Recommendations
AI can produce inaccurate results or flag issues that are not actually problems. Editors should verify AI-generated recommendations before taking action.
Bias
AI systems can reflect biases in their training data or design. If left unchecked, this could affect how manuscripts or authors are assessed. Human oversight is essential for identifying and addressing potential bias.
Confidentiality
Manuscripts often contain unpublished research and sensitive information. Journal teams should understand how AI tools handle submitted content and establish clear rules for protecting confidential material.
Over-Automation
Automating too much of the editorial process can remove important human judgement. AI should handle appropriate support tasks while editors retain control over significant decisions.
Lack of Transparency
Editors, reviewers, and authors should understand when and how AI is being used. Clear policies can help journals use AI responsibly and maintain trust in the publishing process.
How to Introduce AI Into an Editorial Workflow
Introducing AI does not require changing the entire editorial process at once. Journals can start with practical applications and expand as they gain experience.
Start With Assistive Tasks
Begin with repetitive, low-risk activities such as organising information, performing preliminary checks, or highlighting potential issues.
Define Human Review Points
Decide which tasks require human verification and where editors must make the final decision. This keeps accountability within the editorial team.
Set Data and Privacy Rules
Establish clear rules for what manuscript information can be processed by AI and how confidential data should be protected.
Monitor AI Performance
Review AI outputs regularly to identify inaccurate recommendations, missed issues, or patterns that could affect editorial decisions.
Keep Editorial Policies Up to Date
As AI tools and publishing practices change, journals should update their policies to reflect how AI is used across submission, review, and editorial processes.
How Journal Management Systems Are Bringing AI Into Publishing
AI becomes more useful when it is part of the editorial system rather than a separate tool editors have to manage independently.
AI Within the Editorial Workflow
Journal management systems can place AI-assisted tools directly within existing editorial processes. This allows editors to use AI for tasks such as:
- Manuscript screening
- Information organisation
- Potential issue detection
- Editorial support
This makes AI easier to use without adding another disconnected system to the publishing process.
Reducing Workflow Fragmentation
Using separate tools for submissions, peer review, publishing, and AI can create unnecessary complexity. An integrated journal management system keeps these activities connected, giving editors a clearer view of each manuscript as it moves through the workflow.
Keeping Editors in Control
AI should support editorial teams, not operate independently. A well-designed workflow keeps editors involved in reviewing AI outputs and making decisions that require academic or ethical judgement.
Alkademy Press and AI-Assisted Journal Management System
Alkademy Press combines core journal publishing workflows with AI-assisted editorial capabilities in one fully hosted platform.
AI-Assisted Manuscript Screening
Alkademy Press uses AI-assisted screening to help editors identify potential issues during the early stages of manuscript assessment. This can give editorial teams additional information to consider before making decisions.
Integrated Editorial Workflows
Manuscript submission, peer review, publishing, and editorial activities can be managed within the same platform. This gives journals a more connected workflow instead of relying on multiple disconnected systems.
Supporting Editors, Not Replacing Them
The role of AI in Alkademy Press is to assist editorial teams with information and routine tasks while keeping important decisions with human editors.
For Further Insights, read: Hosted vs Self-Hosted Journal Management Software: Which Is Right for Your Journal?
FAQs
AI is being used to support tasks such as manuscript screening, information processing, editorial triage, reviewer support, and revision assessment. Its role is primarily to assist publishing teams with repetitive or information-heavy work.
No. AI can support editorial work, but editors remain responsible for academic judgement, ethical decisions, and final publication decisions.
AI can perform preliminary checks and flag potential issues such as missing information, inconsistencies, or other concerns that may require editorial attention.
Yes. AI can assist with organising manuscript information and supporting parts of the review workflow. However, scholarly evaluation should remain the responsibility of qualified reviewers and editors.
Key risks include inaccurate recommendations, bias, confidentiality concerns, over-automation, and lack of transparency. Human oversight and clear editorial policies are important safeguards.
Final Thoughts On How AI Is Changing Academic Journal Editorial Workflows
AI is changing academic publishing by helping editors handle information and routine tasks more efficiently. Its strongest role is not replacing editorial expertise, but giving journal teams better support throughout the publishing process.
For journals considering how to introduce AI, the priority should be practical assistance, clear human oversight, and responsible handling of editorial information.
Looking to bring AI-assisted tools into your journal workflow? Alkademy Press combines manuscript submission, peer review, publishing, and AI-assisted editorial capabilities in one fully hosted journal management system.
