| Sumario: | Women need tailored advisories to support their adaptation and without inclusive design, digital climate services can unintentionally reinforce harmful inequalities. This presentation explores how we can harness the power of AI to create more gender-responsive and gender-sensitive advisory services for farmers.
In particular, this presentation shares the results of research conducted through AICCRA with iShamba - a digital advisory platform in Kenya - that sought to analyze five years of gender-disaggregated data from iShamba’s SMS advisories and over 9,000 queries submitted by women farmers. The study synthesizes the results and implications of identified patterns of gendered bias in user engagement and query resolution to provide actionable guidance for designing and training AI systems—particularly large language models like ChatGPT—to provide inclusive, relevant, and culturally grounded advisories tailored to women farmers.
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