This article examines the ethical questions that arise as artificial intelligence and digital technologies become more embedded in farming, covering issues like data ownership, algorithmic decision-making, and equity for smallholder farmers.
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AI and digitalization in agriculture raise unresolved ethical questions around data ownership, algorithmic bias, and equitable access for smallholder and family farms
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The transition to digital farming risks widening existing gaps between large industrial operations and small-scale growers who lack resources to adopt or negotiate with new technologies
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The article calls for participatory governance frameworks that include farmers in decisions about how agricultural AI tools are developed and deployed
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