Ethical and Social Impact Assessment of an AI Agricultural Decision Support System
An ethical and social impact assessment of an AI-enabled decision support system designed to optimise agricultural practices and reduce pesticide use. Risks assessed included privacy, data security, algorithmic bias, AI explainability, fairness, and societal acceptance. Mitigation measures were developed and validated through multi-stakeholder workshops with farmers, technologists, policymakers, and environmental experts.
