Integrating Human and Artificial Intelligence Within Organizations

Author:

Sinha Ekta1ORCID

Affiliation:

1. S.P. Jain School of Global Management, India

Abstract

Artificial intelligence (AI) and human resources (HR) are often presented as a dichotomy by researchers. Rhetoric at present posits AI as a potential threat to HR. AI is seen as the ability of a machine to perform cognitive tasks, such as perceiving, reasoning, and problem solving, which we often associate with human minds. However, studies have also found that emotions, tacit knowledge, ethics, common sense, and pro-social behavior are fine human virtues that cannot be replaced by any intelligent machine. Thus, this study opines that organizations cannot achieve desired effectiveness by putting AI and people at the extreme ends of a continuum. The literature has many cases of specific human-AI proposals that widely address several organizational needs. The reverse case, to use specific organizational needs as a basis for formulating general human-AI proposal, is less common. This chapter is a nascent attempt to propose a conceptual framework of human capabilities (artistry/soft and scientific/hard) that are used to characterize the required human-AI intervention.

Publisher

IGI Global

Reference74 articles.

1. Making the business case for AI in HR: two case studies

2. Unstructured data in marketing

3. BeerM.SpectorB.LawrenceP. R.Quinn MillsD.WaltonR. E. (1984). Managing Human Assets. The Free Press.

4. A review paper on artificial intelligence at the service of human resources management

5. BishopP. (2000). Synchronicity and intellectual intuition in Kant, Swedenborg, and Jung. The Edwin Mellen Press.

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