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Research Proposal 4.7

Data Quality And Bias in AIOps for Agritech Startups: A Comparative Perspective

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Psychology Impact AI
Abstract

This research proposal investigates “Data Quality And Bias in AIOps for Agritech Startups: A Comparative Perspective” using a difference-in-differences analysis. Through a institutional lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Data Quality And Bias in AIOps for Agritech Startups: A Comparative Perspective

ABSTRACT
Data Quality And Bias in AIOps for Agritech Startups: A Comparative Perspective is unpacked across themes: ethics, change enablement, costs, and interoperability. Limitations and future research paths are noted.
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