CAST papers are the foundation of CAST’s science communication work. Developed by expert-led task forces, these peer-reviewed publications translate agricultural science into trusted insights that inform policy, guide public understanding, and fuel CAST programs, dialogues, and educational initiatives.
The Council for Agricultural Science and Technology (CAST) adopts the following policy regarding artificial intelligence (AI) usage in publication development:
As a leader in research and education regarding agriculture, science, and technology, CAST recognizes the potential that generative AI tools have to provide in the development of publications, research, and other forms of professional content for or by CAST. Therefore, this policy was developed with the intention of maintaining the highest standards of integrity, transparency, and accountability for all individuals who work, volunteer, or are partnered with CAST.
Generative AI tools do not qualify for authorship, as authorship implies responsibility for tasks that can only be performed by humans. Therefore, authors and developers are solely accountable for the work produced by AI and utilized in any form of content through CAST.
If generative AI tools (e.g., ChatGPT, Gemini, CoPilot) are used in any part of work, it must be clearly acknowledged and disclosed. In a publication, it is required to disclose this in the "Methods" section or"Acknowledgements" section if the former is not an option. In this disclosure, the name, specific model, and version of the AI tool must be included.
Prohibited uses of generative AI by CAST authors include, but are not limited to:
Limited permitted use:
All permitted uses require:
To prevent the dissemination of misinformation, all outputs that are utilized in CAST content must bethoroughly fact-checked, with sources included in the works cited.
CAST does not permit the use of AI tools for the development of visuals, graphics, or cover art. That is, as long as the subject of research at hand is not related to AI software.
Failure to disclose the use of generative AI tools or the submission of unverified AI-generated data is considered a violation of CAST's research integrity standards. This policy will be reviewed regularly to keep pace with the evolving capabilities of AI technology.
This repository houses all official CAST papers, including final published versions, DOIs, and citation information. It serves as the permanent reference point for researchers, policymakers, educators, and media seeking trusted, citable agricultural science.
CAST papers are developed by interdisciplinary task forces composed of volunteer authors, chairs, reviewers, liaisons, and translators from academia, industry, and government. This index recognizes those contributors and highlights the breadth of expertise that supports CAST’s work.
CAST welcomes topic proposals that address timely, relevant issues in agriculture, food, and environmental systems. Proposed topics are reviewed in collaboration with CAST work groups and staff to assess scientific merit, relevance, and alignment with CAST’s mission.
