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Research Proposal 4.4

Natural Language Processing Adoption in Regulated Utilities: Data Quality And Bias — A Comparative Perspective

40
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Chicago
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~ 42–59 mins
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Data Privacy Food Systems Metaverse
Abstract

This research proposal investigates “Natural Language Processing Adoption in Regulated Utilities: Data Quality And Bias — A Comparative Perspective” using a systematic literature review. Through a institutional lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Natural Language Processing Adoption in Regulated Utilities: Data Quality And Bias — A Comparative Perspective

ABSTRACT
Natural Language Processing Adoption in Regulated Utilities: Data Quality And Bias — A Comparative Perspective is unpacked across themes: benefits, equity, change enablement, and ethics. Limitations and future research paths are noted.
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