Social Implications of Agricultural AI Platforms
This project examines how emerging artificial intelligence (AI) decision-support platforms are being used in agricultural water management, and whether they align with the needs, capacities, and concerns of producers, advisors, and water managers. In 2026, we will conduct interviews and surveys with agricultural producers and professionals across Oregon to assess current use, perceptions, and barriers related to AI-enabled tools for irrigation, drought response, and water conservation.
The project examines both the opportunities and challenges associated with AI adoption, including social, institutional, and equity-related considerations, while documenting stakeholder needs and priorities for future tool development. Findings will inform the improvement of more transparent, inclusive, and trusted AI decision-support platforms that support climate-resilient and socially responsible water management.
Grant Acknowledgement:
OSU CAS Big Idea Big Solution: Smart-TAP: AI Enhanced Decision Platform for Agricultural and Water Resilience
The project examines both the opportunities and challenges associated with AI adoption, including social, institutional, and equity-related considerations, while documenting stakeholder needs and priorities for future tool development. Findings will inform the improvement of more transparent, inclusive, and trusted AI decision-support platforms that support climate-resilient and socially responsible water management.
Grant Acknowledgement:
OSU CAS Big Idea Big Solution: Smart-TAP: AI Enhanced Decision Platform for Agricultural and Water Resilience
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Dr. Yu Lu
Assistant Professor, Practice, Human Dimensions of Agricultural Water Management RISE Lab (Resilience, Institutions, Society, and Ecosystems) Department of Biological and Ecological Engineering (BEE) College of Agricultural Sciences Oregon State University |