Extremes of acceptance: employee attitudes toward artificial intelligence

Author:

Lichtenthaler Ulrich

Abstract

Purpose The purpose of this paper is to present paradoxical employee attitudes towards interacting with artificial intelligence (AI). Design/methodology/approach This is a conceptual paper, which builds on prior research, especially on the widely accepted notion of not-invented-here attitudes in technology adoption. Findings Many companies experience barriers in implementing AI owing to negative attitudes among their employees. This paper develops the concept of no-human-interaction attitudes, which describe employees’ preference to collaborate with real humans rather than having virtual colleagues. If they perceive a benefit from voluntarily using AI, however, many employees exhibit positive attitudes, leading to the concept of intelligent-automation attitudes. Jointly, these attitudes lead to the paradox that the same persons may have positive or negative attitudes to AI, depending on the particular situation. Firms need to address these attitudes because the interface of human and AI will be a key driver of competitive advantage in the future. Originality/value The new concepts of negative and positive employee attitudes contribute to our understanding of firms’ success and problems in implementing AI. Moreover, the paradox of negative and positive attitudes among the same employees helps to reconcile partly diverging findings in extant studies. A thorough understanding of the roots of these employee attitudes, along with several examples, further provides immediate starting points for actively influencing these attitudes in practice.

Publisher

Emerald

Subject

Strategy and Management,Management Information Systems

Reference15 articles.

1. AI will change radiology, but it won’t replace radiologists;Harvard Business Review Digital Articles,2018

2. Perceived usefulness, perceived ease of use, and user acceptance of information technology;MIS Quarterly,1989

3. Gartenberg, C. (2018), “Google duplex will start rolling out on pixel devices next month”, available at: www.theverge.com/2018/10/9/17955866/google-duplex-release-date-pixel-devices-next-month-november-assistant-calls.

4. The robot in the window seat;Journal of Business Strategy,2017

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