AI Resources for Editors
Looking to navigate the rapidly evolving world of AI as an editorial professional? You're not alone. With the overwhelming amount of information available, it can be challenging to separate the truly valuable resources from the noise. That's why I've created this carefully curated list of my favorite AI resources.
I regularly update this list to keep pace with new developments in AI technology, so bookmark this page and check back often!
Evergreen Resources
Resources that provide foundational knowledge and ongoing value.
Essential Books
- Co-Intelligence: Living and Working with AI – Ethan Mollick (Apr 2024)
- Great introduction to generative AI that focuses on real-world applications rather than hypotheticals. (Brand-new to AI? Start here.)
- AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference – Arvind Narayanan and Sayash Kapoor (Sep 2024)
- Clarifies the different types of AI, and their true capabilities and limitations.
Email Newsletters
- One Useful Thing – Ethan Mollick
- Practical insights on AI applications from a Wharton School professor who studies the implications of AI for work, education, and business.
- The Future of Being Human – Andrew Maynard
- Thoughtful reflections on generative AI and its societal implications from a professor of advanced technology transitions at Arizona State University.
Blog Posts, Studies, and Other Online Resources
- From AI to Z: A Plain-Language Glossary of AI Terms for Editors – Inkbot Editing
- Straightforward glossary of AI terms specifically for editorial professionals.
- Editors and AI, Part I: What Is AI? – Inkbot Editing
- Introduction to AI written specifically for editorial professionals.
- AI Editing: Are We There Yet? – CSE Science Editor
- Analysis of AI capabilities in scientific editing.
- Like It or Not, Publishers Are Licensing Material for AI Training – Jane Friedman
- Overview of how publishing houses are adapting to AI.
- Why We’re Not Adding AI to PerfectIt – Intelligent Editing
- Explores reasons why rule-based editing tools remain valuable.
Government Regulations & Guidance on AI
- US Copyright Office
- Published a two-part report on digital replicas (deepfakes) and AI-generated works, maintaining that creative content requires human authorship to qualify for copyright protection.
AI Policy Examples
- Dragonfly Editorial
- Focuses on responsible AI use for editorial tasks while maintaining high quality standards and human review.
- The New York Times
- Prohibits using NYT content to train AI models without permission and has sued OpenAI for copyright infringement.
- The Associated Press
- Treats AI-generated content as "unvetted source material" subject to AP's existing sourcing standards.
- The Authors Guild
- Advocates for author consent and compensation for AI training on copyrighted works.
- Amazon Kindle Direct Publishing
- Requires disclosure if content contains AI-generated text, images, or translations.
- Elsevier
- Requires transparency in AI authorship contribution and prohibits listing AI tools as co-authors in academic papers.
Generative AI Tools & Platforms
The majority of generative AI tools offer free basic capabilities and premium paid plans. The free versions are far less powerful than the paid models—this is especially true with ChatGPT and Claude, where it’s worth upgrading, even if only temporarily, to get a clearer idea of each system’s true capabilities.
Note: It’s incredibly important to review each system’s privacy and data retention policies. Never input confidential, proprietary, or client materials into generative AI systems without explicit permission. Assume that AI tools, by default, will retain and/or use your data.
Conversational Tools (Large Language Models)
These are the general-use systems that are worth testing out. They can synthesize research, explain concepts you want to understand in more depth, format documents, create images and graphics, and much more.
- Claude
- By default, and with some exceptions, Claude will not use your prompts and conversations to train future models. Here is their privacy policy.
- ChatGPT
- Be sure to go to Settings > Data Controls and set “Improve model for everyone” to OFF. Otherwise, your data may be used to train the AI. You can also select “Temporary Chat” for further data protection. Here is their privacy policy.
Specialized Tools for Editing
- Microsoft Word 365’s Editor
- AI-powered grammar, spelling, and clarity improvements.
- EditGPT
- AI-powered editing suggestions with the ability to export tracked changes to Microsoft Word (paid tier only).
Research & Citation Tools
- NotebookLM
- AI-powered research assistant that helps organize information from multiple sources, generate insights, and create structured notes from uploaded documents.
- Perplexity AI
- AI search engine for tasks like research, literature reviews, and fact-checking.
- Julius AI
- AI research assistant specialized for academic literature search and paper analysis.
- SciSpace
- AI-powered research platform for discovering, interacting with, and understanding academic papers; includes a citation generator.
- Consensus
- Specialized AI search engine that extracts and synthesizes findings from scientific literature.
- QuillBot’s Citation Generator
- AI-powered reference creator that completes missing bibliographic information.
Recent AI News for Editors
Current articles and research particularly relevant to editorial professionals, with newest listed first. Updated regularly; older articles are removed when no longer timely.
- Kit Eaton, "OpenAI says using ChatGPT can make you lonelier. Should you limit AI use at work?," Inc., Mar 20 2025
- Benj Edwards, "AI search engines give incorrect answers at an 'alarming' 60% rate, study says," Ars Technica, Mar 13 2025
- Rutvik Desai, “AIs Flunk Language Test That Takes Grammar Out of the Equation,” The Conversation, Feb 26 2025
Compiled by Molly McCowan. This resource is regularly updated as AI tools and resources evolve. Last updated: March 25, 2025.
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