Forum for Agricultural Research in Africa (FARA)

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End date: 2026Subject: search.filters.subject.Artificial Intelligence

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    2026–2030 Knowledge Management Partnership Framework for Agricultural Research for Development in Africa
    (FARA, 2026-07) CAADP-XP4 Consortium, CGIAR, KM4AgD CoP, & African Union Commission
    The Knowledge Management Partnership Framework for AR4D in Africa (2026–2030) provides a continental strategic framework for strengthening collaboration on knowledge management among the African Union Commission, CAADP-XP4 consortium institutions, CGIAR, and related African agricultural research and innovation partners. The framework repositions knowledge management from a narrow focus on repositories and dissemination toward a broader system of adaptive learning, implementation intelligence, institutional change, and impact-oriented knowledge ecosystems that support the transformation of Africa’s agrifood systems. FARA African Union Building on the 2023–2025 framework, the document responds to evolving continental priorities under the Kampala CAADP Declaration and the CAADP Strategy and Action Plan 2026–2035, which emphasize science, technology, innovation, learning, foresight, and implementation. It establishes a shared vision of an African agricultural research and innovation ecosystem in which knowledge is intentionally governed, shared, co-created, and applied to accelerate resilient, inclusive, and sustainable agrifood transformation. FARA African Union The framework defines strategic objectives covering KM governance, adaptive learning, digital knowledge infrastructure, AI readiness, indigenous knowledge integration, coordinated dissemination, and evidence of KM contribution to transformation outcomes. It outlines governance arrangements, implementation mechanisms, monitoring and learning processes, and expected results by 2030, including stronger institutionalization of KM, more coherent continental collaboration, enhanced African agricultural knowledge infrastructure, improved capacity sharing, and greater recognition of indigenous knowledge systems.
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    Socratic Playground for Learning (SPL): An AI-Powered Personal Tutor Based on Guided Dialogue with Self-Discovery
    (FARA, 2026-03-26) Eric Tsui
    This presentation introduces the Socratic Playground for Learning (SPL), an AI-powered personal tutoring system designed to enhance learning through guided dialogue and self-discovery. Drawing on the principles of Socratic learning, the system leverages artificial intelligence to promote critical thinking, metacognition, and personalized learning experiences. The presentation explores how generative AI can transform traditional instructor-led training into learner-centered education by enabling adaptive learning pathways, real-time feedback, and interactive knowledge construction. It highlights key features such as scaffolded responses, personalized support, and knowledge checks, while emphasizing responsible AI use within knowledge management frameworks. The work situates AI-enabled learning within broader concepts such as human-centered AI and responsible knowledge management in the context of Society
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    Responsible AI in Agroecology: Transforming Knowledge Into Impact
    (FARA, 2026-03-26) Ines Amamou
    This presentation explores the role of Artificial Intelligence (AI) in transforming knowledge management (KM) within agroecology systems in Africa. Delivered within the context of the Knowledge Centre for Organic Agriculture and Agroecology in Africa (KCOA), it highlights how AI can bridge the gap between complex scientific knowledge and practical application for farmers and stakeholders. The presentation introduces a paradigm shift from traditional information retrieval methods to interactive AI-driven knowledge systems, emphasizing natural language interaction, intelligent synthesis, and actionable insights. It outlines practical applications of AI in content creation, communication, and digital knowledge dissemination, while promoting responsible and ethical use of AI tools. The work underscores AI’s potential to enhance agricultural productivity, support digital inclusion, and strengthen sustainable agroecological practices across Africa.