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...
| Main Authors: | , |
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| Format: | Blog Post |
| Language: | Inglés |
| Published: |
2025
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| Online Access: | https://hdl.handle.net/10568/179761 |
| _version_ | 1855532576933937152 |
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| author | Ortiz Crespo, Berta Martins, Carolina |
| author_browse | Martins, Carolina Ortiz Crespo, Berta |
| author_facet | Ortiz Crespo, Berta Martins, Carolina |
| author_sort | Ortiz Crespo, Berta |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Blog Post |
| id | CGSpace179761 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1797612026-01-13T15:24:16Z From principles to practice: Why ethical AI starts with data Ortiz Crespo, Berta Martins, Carolina artificial intelligence inteligencia artificial mejora de cultivos ethics breeding decisions large language models Ética 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. 2025-12-16 2026-01-13T15:17:28Z 2026-01-13T15:17:28Z Blog Post https://hdl.handle.net/10568/179761 en Open Access Ortiz 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/ |
| spellingShingle | artificial intelligence inteligencia artificial mejora de cultivos ethics breeding decisions large language models Ética Ortiz Crespo, Berta Martins, Carolina From principles to practice: Why ethical AI starts with data |
| title | From principles to practice: Why ethical AI starts with data |
| title_full | From principles to practice: Why ethical AI starts with data |
| title_fullStr | From principles to practice: Why ethical AI starts with data |
| title_full_unstemmed | From principles to practice: Why ethical AI starts with data |
| title_short | From principles to practice: Why ethical AI starts with data |
| title_sort | from principles to practice why ethical ai starts with data |
| topic | artificial intelligence inteligencia artificial mejora de cultivos ethics breeding decisions large language models Ética |
| url | https://hdl.handle.net/10568/179761 |
| work_keys_str_mv | AT ortizcrespoberta fromprinciplestopracticewhyethicalaistartswithdata AT martinscarolina fromprinciplestopracticewhyethicalaistartswithdata |