GIW 2026 AgriTech AI Series 2: Responsible AI & Regulatory Considerations

Deploying artificial intelligence in smallholder agriculture requires high technical standards and strict data ethics. From collecting farmer profiles to integrating public and cooperative datasets, innovators must design with privacy, transparent inference, and regulatory compliance from day one. In this session, our experts unpack how to build legally compliant, trustworthy AI solutions that protect farmer data, respect IP, and align with national digital guidelines. What We’ll Cover: Responsible AI in Agriculture Data Privacy & Kenya's DPA IP, Data Provenance & Model Cards Scoring Rubric Alignment