AI for inclusive and resilient agri-food systems: Potential ways forward
The OECD has outlined potential applications of AI in agriculture, examining how the technology could improve food security, supply chain resilience, and sustainability across agri-food systems while also identifying key implementation challenges.
Why this matters: Large-scale AI deployment in agriculture typically involves extensive data collection from farmers, land, and supply chains, raising questions about who controls that data and whether smallholder farmers retain meaningful agency over their own agricultural information.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
This summary is AI-assisted and may contain errors. It is an original briefing to help you gauge significance quickly — not a reproduction of the source. Always read the linked original before relying on it. See our methodology.