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Case Study 4.5

Human-Computer Interaction for Data Science Teams: Ethical Considerations | A qualitative grounded theory

26
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Chicago
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~ 27–40 mins
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AIOps Risk DEI
Abstract

This case study investigates “Human-Computer Interaction for Data Science Teams: Ethical Considerations | A qualitative grounded theory” using a design science research. Through a behavioral lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Human-Computer Interaction for Data Science Teams: Ethical Considerations | A qualitative grounded theory

ABSTRACT
Human-Computer Interaction for Data Science Teams: Ethical Considerations | A qualitative grounded theory is unpacked across themes: KPIs, change enablement, governance, and equity. Limitations and future research paths are noted.
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