AI Tools in Editorial Workflows Explained

Introduction

Editorial teams face growing submission volumes and increasing pressure to deliver timely decisions. AI‑powered tools are being adopted to streamline workflows, but their use must be carefully managed.

This article examines how AI is transforming editorial work and the implications for researchers.

Editorial Tasks Supported by AI

AI assists with:

• Desk screening
• Plagiarism checks
• Reviewer suggestions
• Workflow optimization

Efficiency Gains and Limitations

While AI improves speed, it:

• Cannot assess scientific novelty fully
• Requires human validation

Automation supports—not replaces—editors.

Transparency and Accountability

Editors must ensure:

• Clear communication about AI use
• Fair and consistent application

Implications for Authors

Authors may experience:

• Faster initial decisions
• More standardized screening

Understanding these changes helps manage expectations.

Conclusion

AI is reshaping editorial workflows, offering efficiency gains while reinforcing the need for strong human oversight and ethical safeguards.