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A Tool Combining Explainability and Benefits of Artificial Intelligence to Improve Trust in AI in Agriculture

Berg, T. (2024) A Tool Combining Explainability and Benefits of Artificial Intelligence to Improve Trust in AI in Agriculture.

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Abstract:Artificial Intelligence is playing a growing role in the agricultural sector. The agricultural sector is facing various challenges impacting efficiency, such as diseases and pesticides, soil health management, and drainage and irrigation. The application of AI is considered part of a viable solution to the growing world population and the increased food consumption, by increasing the efficiency and yield in this sector. However, the adoption of AI in the agricultural sector is slow. Many AI systems are called black boxes, meaning that there is no way to explain the reasons behind predictions. Explainability of AI is important for building trust and understanding leading to an increased adoption rate. This research helps to bridge the gap between the potential benefits and the low comprehension and trust of an AI system in agriculture. A tool is developed combining the explanation and benefits of AI in agriculture tailored to the needs of farmers to ensure quicker adoption and more trust in AI systems. The effectiveness of the tool was evaluated through a focus group, demonstrating that the tool significantly increased the trust and understanding of users in the AI system, while also highlighting the need for a balance between simplicity and completeness of explanations.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/100781
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