
AI & Research Integrity Policy
Climate Sustainability & Global Systems (CSGS) establishes these principles to ensure the responsible, ethical, and transparent use of AI in climate analytics and policy forecasting.
1. Responsible Use of Artificial Intelligence
AI tools are permissible if used transparently and ethically. Authors remain fully accountable for all content.
2. Mandatory AI Disclosure
Authors must include a dedicated “AI Use Statement” in the manuscript for any use in text, data, code, or images.
"AI-assisted language editing was used in preparing this manuscript. The authors take full responsibility for the content."
3. AI Cannot Be Listed as an Author
Authorship requires human intellectual accountability. AI tools cannot assume responsibility or approve submissions.
4. Prohibited Uses of AI
- Fabrication of data or fictitious references.
- Manipulation of peer review processes.
- Undisclosed automated text or image generation.
Violations may result in immediate rejection, retraction, and institutional notification.
5. Integrity in Modeling and AI Studies
For AI-based climate studies, authors must ensure transparency by providing:
Enhancements must not alter scientific meaning. Editors may request original files for forensics.
CSGS employs AI detection and data forensics software. Misconduct follows COPE guidelines.
8. Citation Integrity and Manipulation
Strictly prohibited: Citation stacking, coercive citations, and irrelevant AI-generated references. Reviewers must not request citations to inflate metrics.
9. Responsibility and Accountability
All authors are collectively responsible for the accuracy of data and validity of analysis. The corresponding author bears primary responsibility for submission integrity.
