GAIA Project (Generative AI for Agriculture Advisory)

CABI's GAIA Project explores generative AI for agricultural advisory services, with the emphasis on governance: attribution, licensing and accountability for AI-generated outputs in a sector where bad advice has real consequences.

Benefits & outcomes

Governance policies integrated into tool development, not bolted on after.

Attribution and licensing practices designed for generative outputs.

Clearer ethical and legal boundaries for content reuse — including the finding that Creative Commons may not be enough for generative content.

Notes & quotes

"GenAI holds huge promise… but without clear governance, that promise is fragile." — Katherine Cameron, CABI

"A policy without a process cannot hold up when requests move fast."

Licensing restricted use to non-commercial contexts with attribution required at both system and interface levels.


Publisher / company: CABI
Date of mention: 14/05/2025
Source: https://blog.cabi.org/2025/05/14/lessons-in-ai-governance-from-the-gaia-project/