Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

Video course · 15 chapters · 60 min · certificate

Use AI in Research Writing Without Breaking Ethics Rules

Use AI across the research writing process without breaking publishing ethics: institutional and journal policies, literature reviews, outlining, source management, editing, disclosure and submission.

Become a memberAlready a member? Sign in

What you'll learn

  • Explain why ethics matter in AI-assisted publishing
  • Check institutional and journal AI policies first
  • Use AI for literature reviews without losing rigour
  • Outline and draft while keeping your own voice
  • Verify every source and reference
  • Disclose AI use correctly at submission

Chapters

15 chapters · 60:10
  1. 4:16 01Intro Members Welcome A webinar for authors and librarians on using AI ethically in research writing.
  2. 3:53 02Context Members Publishers and peer review The publishing and peer-review context in which AI-assisted manuscripts are judged.
  3. 1:12 03Ethics Members Why ethics matter Ethics underpin research publishing, and AI raises new questions at every stage.
  4. 3:12 04Adoption Members Responsible adoption Most researchers already use AI; responsible use means knowing where and how.
  5. 1:36 05Equity Members Closing the English gap AI helps researchers whose first language isn't English compete on equal terms.
  6. 1:09 06Policy Members Institutional policies Universities emphasize integrity and responsible AI use; know your institution's approach and be transparent.
  7. 1:11 07Planning Members Before writing Before writing, choose your journal and understand its AI policy.
  8. 3:11 08Literature Members Literature reviews with AI Using AI tools for literature reviews while keeping your own voice and verifying findings.
  9. 5:27 09Journals Members Journal selection and pre-submission Selecting journals and sending pre-submission inquiries, with attention to AI policies.
  10. 6:40 10Drafting Members Outlining and drafting Using AI to structure ideas and draft, especially for non-native writers, while keeping the work yours.
  11. 6:19 11References Members Managing sources A major AI risk: fabricated or wrong citations. Every cited source must be read and verified.
  12. 8:40 12Editing Members Revising and editing Using AI in later stages to revise and polish, with free and paid tools.
  13. 7:37 13Submission Members Submission and disclosure Cover letters, disclosure of AI use, and resubmitting after rejection.
  14. 2:48 14Summary Members Key takeaways AI is an assistant, never the author: use it transparently and keep responsibility.
  15. 2:59 15Wrap-up Members Q&A and closing Final questions and where to follow up.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

PhD StudentsResearch ScientistsPostdoctoral ResearchersProfessorsHistoriansResearch AssociatesPhysicistsSocial ScientistsBiochemistsNeuroscientistsAstronomersMicrobiologists