Repository logo
Communities & Collections
All of KYUSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Wilson Okaka"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    Advancing gender-responsive AI in higher education: a participatory rural appraisal of traditional and modern food processing innovations in Uganda
    (East African Journal of Interdisciplinary Studies, 2025-10-06) Wilberforce, Okongo; Wilson Okaka
    This study explores how gender-responsive artificial intelligence (AI) can transform higher education participatory rural appraisal (PRA) research to advance Sustainable Development Goal (SDG) 2 - Zero Hunger - by harmonising traditional and modern food processing practices in Uganda. Amidst rapid technological progress, AI’s potential remains disproportionately urban-centric, sidelining rural women who dominate Uganda’s traditional food systems yet face systemic barriers to accessing modern innovations. Through a mixed-methods approach including a systematic review of global AI applications in agriculture, analysis of national and international policy frameworks, and community-driven PRA case studies, this research uncovers critical gaps in gender-equitable AI adaptation within Higher Education Institutions (HEIs). Findings reveal that socio-economic disparities, limited digital literacy, and infrastructural inequities exclude women from AI-driven solutions, thus undermining Uganda’s progress toward sustainable agriculture. However, HEIs emerge as pivotal agents of change. This is because, by embedding gender-responsive AI into participatory research curricula, universities can co-design inclusive technologies that amplify women’s expertise in traditional food preservation while integrating modern efficiencies. This study proposes a tripartite strategy: (1) Gender-sensitive AI training programs tailored to rural contexts, (2) Low-cost, culturally relevant AI tools for decentralised food processing, and (3) Cross-sector partnerships linking academia, policymakers, and grassroots innovators to align AI initiatives with SDG 2 (Zero Hunger) and SDG 5 (Gender Equality) targets. This work challenges the global AI paradigm by centring marginalised voices and demonstrating how participatory, gender-responsive education frameworks can catalyse equitable technological adoption. Its actionable insights offer a blueprint for HEIs worldwide to harness AI as a tool for social justice, bridging the divide between tradition and innovation to build resilient, inclusive food systems.

KYUSpace Copyright © 2025 KYU Library

  • Privacy policy
  • End User Agreement
  • Send Feedback