Ethical, informed, and explainable AI (EIX-AI) in the face of fluctuations in agricultural demand

Harfouche, Antoine

Ethical, informed, and explainable AI (EIX-AI) in the face of fluctuations in agricultural demand - 2026.


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This research, conducted as part of the “GreenMinds AI” project, examines the integration of ethical, informed, and explainable artificial intelligence (EIX-AI) into agricultural supply chains, with a specific focus on the Lebanese context. Drawing on Design Science Research and the Kano model, the study demonstrates that EIX-AI enables the reconciliation of performance, ethics, and sustainability, while enhancing user adoption through explanatory tools such as SHAP and LIME.

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