Abstract
Implementing artificial intelligence (AI) in agriculture to achieve Sustainable Development Goals (SDGs) necessitates a careful approach to ethical considerations. Key issues include algorithmic bias, data privacy and security, transparency in AI decision-making, and the risk of exacerbating inequalities due to unequal access to technology. To promote responsible AI use, it is essential to develop frameworks that emphasize fairness, accountability, and inclusivity, while also encouraging community engagement and cultural sensitivity. Objectives of the study focus on evaluating the ethical implications of AI applications, identifying challenges such as bias and privacy concerns, and recommending frameworks that align AI implementation with sustainability principles. The exploration of ethical dimensions involves understanding how AI can be used to achieve equitable agricultural outcomes without compromising privacy or deepening existing inequalities. It encompasses fairness and bias, transparency and explainability, data privacy and security, accountability, equity and inclusivity, environmental responsibility, and societal impact. A mixed-methods approach is employed in the study, combining qualitative data from interviews with farmers and experts with quantitative surveys to gauge perceptions and usage of AI tools. This methodology will also include stakeholder analysis to identify ethical risks and establish collaborative frameworks among governments, businesses, and communities. Additionally, ensuring equitable access to AI technology is crucial to prevent widening inequalities, alongside managing the environmental impacts associated with AI’s computational demands. Overall, the responsible implementation of AI in agriculture requires proactive management of ethical risks while promoting transparency and community engagement to ensure that all farmers benefit equitably from technological advancements.
Presenters
Benjamin AdebisiResearcher, Functional and Molecular Neurobiology, Institute of Anatomy, Cell Biology, Brain and Neurodegeneration, Osun, Nigeria
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
2026 Special Focus—Human-Centered AI Transformations
KEYWORDS
ETHICS, ARTIFICIAL INTELLIGENCE, AGRICULTURE
