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Case Study 4.6

Data Quality And Bias in Ethical AI for Agritech Startups: Evidence from Nordic Countries

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Abstract

This case study investigates “Data Quality And Bias in Ethical AI for Agritech Startups: Evidence from Nordic Countries” using a qualitative grounded theory. Through a socio-technical lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Data Quality And Bias in Ethical AI for Agritech Startups: Evidence from Nordic Countries

ABSTRACT
Data Quality And Bias in Ethical AI for Agritech Startups: Evidence from Nordic Countries is unpacked across themes: ethics, change enablement, interoperability, and costs. Limitations and future research paths are noted.
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