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Paper Type
ERF
Abstract
The complexity of enterprise systems provides an opportunity to harness the capabilities of artificial intelligence (AI). The recent proliferation of AI in the workplace is leading to an unprecedented proximity between employees and these emerging AI-based technologies. Existing IS research refers to this integration of humans and AI as human-AI hybrids. This work-in-progress paper presents an idea of an empirical study to examine the effect of AI-based technologies on the individual in the context of enterprise systems use in the workplace. Task augmentation by using conversational AI to supplement traditional support structures will be studied. A research model has been developed and a lab study is proposed.
Recommended Citation
Sachdeva, Agrim and Bala, Hillol, "Human-AI Hybrids and Individual Performance in the Context of Enterprise Systems Use" (2020). AMCIS 2020 Proceedings. 20.
https://aisel.aisnet.org/amcis2020/ai_semantic_for_intelligent_info_systems/ai_semantic_for_intelligent_info_systems/20
Human-AI Hybrids and Individual Performance in the Context of Enterprise Systems Use
The complexity of enterprise systems provides an opportunity to harness the capabilities of artificial intelligence (AI). The recent proliferation of AI in the workplace is leading to an unprecedented proximity between employees and these emerging AI-based technologies. Existing IS research refers to this integration of humans and AI as human-AI hybrids. This work-in-progress paper presents an idea of an empirical study to examine the effect of AI-based technologies on the individual in the context of enterprise systems use in the workplace. Task augmentation by using conversational AI to supplement traditional support structures will be studied. A research model has been developed and a lab study is proposed.
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