Beyond Accuracy: Socio-Technical Framework for Responsible AI Design in African Agriculture
Domain:
agricultureCreator:
AbdAnk
Per
PerPublisher:
Host:
This white paper presents a socio-technical framework for responsible AI design in African agriculture. Drawing on insights from the AfriCHI 2025 workshop, it argues that agricultural AI must move beyond technical accuracy to account for farmer agency, indigenous knowledge, linguistic diversity, mediated advisory practices, and climate uncertainty.
The paper outlines practical design principles and sector-level priorities for building AI systems that are locally grounded, socially feasible, multimodal, and ecologically adaptive.
Similar
From Digital Consumption to Sovereign Compute: A Socio-Technical Framework for Generative AI in African EducationBeyond Digital Transformation: A Disability-Inclusive Responsible AI Framework for Ghanaian Special Education CLEAR-AI: A clinician-led framework for responsible hospital AI governanceBeyond Models: A Framework for Contextual and Cultural Intelligence in African AI DeploymentPolicy Framework for Responsible AI Deployment in the National Cybersecurity StrategyGoverning the Ungoverned: A Framework for Responsible AI Deployment in Nigeria’s Informal Economy