Create "Generative AI" Topic Materials

[njlyon0]

Summary

We need to add a topic covering generative AI! Let's start collating resources. Concept is not a tutorial but more a set of guiding principles for how to use it responsibly and what you should/shouldn't use it on. Currently this is at the end of module 2, but because we may move things around, I'll link the relevant sub-doc: topics / generative-ai.qmd

Sub-Tasks

• Assemble likely resources
• Discuss with team
• Assign point person/people
• Draft materials
• Get feedback from larger design team
• Revize accordingly

Resources

• Li Lui / Casey O'Hara Learning Hub AI materials: https://nceas-learning-hub.github.io/ai_for_nceas/
• Nick Lyon / Casey O'Hara Delta AI materials: https://nceas-learning-hub.github.io/2026_delta_week2/s08_project_doc_organization.html#introduction-to-generative-ai
• Sarah Elmendorf Niwot Ridge AI materials: https://nwtlter.github.io/data_skills/AI_how_to_2_IDE_quickstart.html
• Suchikova et al. 2026 PubMed AI article: https://pubmed.ncbi.nlm.nih.gov/40781729/
• ESIIL / EarthLab 'AI for Environmental Researchers' website: https://earthlab.colorado.edu/blog/ai-environmental-researchers

[marty-downs]

Relevant resource: parallel to Credit framework for AI. Great to get in the habit of using throughout synthesis lifecycle.
GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing https://pubmed.ncbi.nlm.nih.gov/40781729/

[marty-downs]

Review Ty Tuff's talk on Gen AI for Ecological Researchers for useful ideas/resources: https://earthlab.colorado.edu/blog/ai-environmental-researchers (second talk is most relevant. First is background)

[njlyon0]

Draft 1 Created

I ported in the materials Casey O'Hara and I developed for the Delta workshops this year to serve as a starting point.