From principles to practice: Why ethical AI starts with data

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dc.creatorOrtiz Crespo, Berta
dc.creatorMartins, Carolina
dc.date2025-12-16
dc.date2026-01-13T15:17:28Z
dc.date2026-01-13T15:17:28Z
dc.date.accessioned2026-06-27T13:32:02Z
dc.descriptionEthical AI must begin with ethical data practices, because datasets—often collected from people without consent or fair representation—shape AI behavior and can reproduce bias and harm. Using the NDIZI project as a case study, it shows how embedding data ethics and human-centered design throughout the AI lifecycle can help ensure fairness, transparency, and accountability, particularly when working with smallholder farmers.
dc.identifierhttps://hdl.handle.net/10568/179761
dc.identifier.urihttp://hdl.handle.net/123456789/62384
dc.languageen
dc.rightsOpen Access
dc.sourceOrtiz Crespo, B.; Martins, C. (2025) From principles to practice: Why ethical AI starts with data. [Blog post] IFPRI Blog: Research Post. Published online 16 December 2025. URL: https://www.ifpri.org/blog/from-principles-to-practice-why-ethical-ai-starts-with-data/
dc.subjectartificial intelligence
dc.subjectinteligencia artificial
dc.subjectmejora de cultivos
dc.subjectethics
dc.subjectbreeding decisions
dc.subjectlarge language models
dc.subjectÉtica
dc.titleFrom principles to practice: Why ethical AI starts with data
dc.typeBlog Post

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