An integrated approach to gender equality, diversity, and inclusion in the development of artificial intelligence tools in agriculture and food system in Africa

Abstract Agriculture in sub-Saharan Africa faces complex challenges, such as low productivity, climate stress, and ongoing social inequalities, particularly affecting women and marginalised groups. Whilst artificial intelligence (AI) holds transformative potential for agriculture and food systems, its development often overlooks these stakeholders, thereby reinforcing existing disparities. This study investigates two AI research initiatives in Nigeria and Uganda that employed a design-by-inclusion approach rooted in gender equality, diversity, and inclusion (GEDI) principles. Through retrospective case studies involving small groups of women and persons with disabilities, we examine how participatory engagement influenced the relevance, usability, and confidence of AI tools amongst users. Drawing on insights from Feminist Human–Computer Interaction (HCI) and Design Justice, our analysis demonstrates that inclusive processes led to significant improvements in participants’ confidence and willingness to engage with AI tools. Based on these findings, we propose a practical framework for developing inclusive AI in agriculture. This work underscores the importance of context-sensitive, participatory design in fostering equitable and effective AI innovations within African agriculture.

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Publication Details

Journal
AI & Society
Published
2025-11-14
DOI
https://doi.org/10.1007/s00146-025-02722-y
Primary Topic
ICT in Developing Communities
Type
article
Field-Weighted Citation Impact
0.00

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article

An integrated approach to gender equality, diversity, and inclusion in the development of artificial intelligence tools in agriculture and food system in Africa

Nicholas Ozor, Cynthia Ebere Nwobodo, Madeleine Waller, JN Nwakaire et al.
AI & Society
ICT in Developing Communities
article

An integrated approach to gender equality, diversity, and inclusion in the development of artificial intelligence tools in agriculture and food system in Africa

Nicholas Ozor, Cynthia Ebere Nwobodo, Madeleine Waller, JN Nwakaire, Shannon Sutton, Daisy Salifu, Rex Sagoe
article en

Abstract

Abstract Agriculture in sub-Saharan Africa faces complex challenges, such as low productivity, climate stress, and ongoing social inequalities, particularly affecting women and marginalised groups. Whilst artificial intelligence (AI) holds transformative potential for agriculture and food systems, its development often overlooks these stakeholders, thereby reinforcing existing disparities. This study investigates two AI research initiatives in Nigeria and Uganda that employed a design-by-inclusion approach rooted in gender equality, diversity, and inclusion (GEDI) principles. Through retrospective case studies involving small groups of women and persons with disabilities, we examine how participatory engagement influenced the relevance, usability, and confidence of AI tools amongst users. Drawing on insights from Feminist Human–Computer Interaction (HCI) and Design Justice, our analysis demonstrates that inclusive processes led to significant improvements in participants’ confidence and willingness to engage with AI tools. Based on these findings, we propose a practical framework for developing inclusive AI in agriculture. This work underscores the importance of context-sensitive, participatory design in fostering equitable and effective AI innovations within African agriculture.

AI & Society
International Development Research Centre (CA), University of Ottawa (CA), International Centre of Insect Physiology and Ecology (KE), Kumasi Technical University (GH), Gender Studies (CZ), African Technology Policy Studies Network (KE), Kumasi Centre for Collaborative Research in Tropical Medicine (GH), Institute of Gender and Health (CA)
Styrelsen för Internationellt Utvecklingssamarbete, International Development Research Centre
Openalex Percentile: Top 52%
ICT in Developing Communities
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