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From principles to practice: Why ethical AI starts with data

Ethical 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 t...

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Autores principales: Ortiz Crespo, Berta, Martins, Carolina
Formato: Blog Post
Lenguaje:Inglés
Publicado: 2025
Materias:
artificial intelligence
inteligencia artificial
mejora de cultivos
ethics
breeding decisions
large language models
Ética
Acceso en línea:https://hdl.handle.net/10568/179761
Sumario:Ethical 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.

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