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Guest editorial: Artificial intelligence and machine learning in business and management

Guest editorial: Artificial intelligence and machine learning in business and management Guest editorial Guest editorial: Artificial intelligence and machine learning in business and management Artificial intelligence (AI) is the enhancement of computers so that they can perform complex activities and tasks in ways that can be labeled as intelligent. Machine learning (ML) is a branch of AI where algorithms are used to learn from data to make decisions or predictions. Timely research subjects in AI and ML are: reinforcement learning, ethics in AI, quantum computing, convergence of AI and other emerging technologies, facial recognition, biased data, neural networks, socioeconomic models, deep learning and privacy protection (Alpaydin, 2014; Jiang, 2021; Shalev-Shwartz and Ben-David, 2014). AI and ML are drawing considerable attention these days. An already large and fast- growing literature covers a wide range of real or soon-to-materialize applications, from dealing with autism and detecting breast cancer to selecting job candidates, setting legal sanctions and deciding upon conditional liberations. Managers, among many others, are now in need of a compass that would allow them to navigate lucidly through the hype (Bryson et al., 2021; La Torre et al.,2021; Jammeli et al.,2021 and the references therein). This special issue aims to start developing such a compass. It includes novel contributions and innovative http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Modelling in Management Emerald Publishing

Guest editorial: Artificial intelligence and machine learning in business and management

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1746-5664
eISSN
1746-5664
DOI
10.1108/jm2-08-2022-325
Publisher site
See Article on Publisher Site

Abstract

Guest editorial Guest editorial: Artificial intelligence and machine learning in business and management Artificial intelligence (AI) is the enhancement of computers so that they can perform complex activities and tasks in ways that can be labeled as intelligent. Machine learning (ML) is a branch of AI where algorithms are used to learn from data to make decisions or predictions. Timely research subjects in AI and ML are: reinforcement learning, ethics in AI, quantum computing, convergence of AI and other emerging technologies, facial recognition, biased data, neural networks, socioeconomic models, deep learning and privacy protection (Alpaydin, 2014; Jiang, 2021; Shalev-Shwartz and Ben-David, 2014). AI and ML are drawing considerable attention these days. An already large and fast- growing literature covers a wide range of real or soon-to-materialize applications, from dealing with autism and detecting breast cancer to selecting job candidates, setting legal sanctions and deciding upon conditional liberations. Managers, among many others, are now in need of a compass that would allow them to navigate lucidly through the hype (Bryson et al., 2021; La Torre et al.,2021; Jammeli et al.,2021 and the references therein). This special issue aims to start developing such a compass. It includes novel contributions and innovative

Journal

Journal of Modelling in Management – Emerald Publishing

Published: Aug 22, 2022

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