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      A survey of AI ethics in business literature: Maps and trends between 2000 and 2021

      systematic-review

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          Abstract

          Artificial intelligence is spreading rapidly in business products and processes, with innovations that bring great benefits to society; however, significant risks also arise. AI-enabled systems make decisions autonomously and influence users and the environment, presenting multiple ethical issues. This work focuses on the ethics of AI use in business. We conduct a survey of business journal articles published between 2000 and mid-2021 to identify the most influential journals, articles, and authors, the most influential ethical schools, and the main ethical issues of AI in business. It describes the state-of-the-art in the field and identifies trends in ethical issues arising from AI. Thus, we present maps and trends of the ethics in AI in business literature.

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            Brave new world: service robots in the frontline

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              Why Are There Still So Many Jobs? The History and Future of Workplace Automation

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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                19 December 2022
                2022
                : 13
                : 1042661
                Affiliations
                [1] 1Institute of Data Science and Artificial Intelligence (DATAI), School of Economics and Business, University of Navarra , Pamplona, Spain
                [2] 2Information Systems Department, University Center for Economic and Administrative Sciences (CUCEA), University of Guadalajara , Guadalajara, Mexico
                [3] 3HHL Leipzig Graduate School of Management , Leipzig, Germany
                [4] 4Wittenberg Center for Global Ethics , Wittenberg, Germany
                Author notes

                Edited by: Pablo García Ruiz, University of Zaragoza, Spain

                Reviewed by: Athina Ioannou, University of Surrey, United Kingdom; Javier Pinto, University of Los Andes, Chile

                *Correspondence: Marco Tulio Dazamdazaramire@ 123456alumni.unav.es

                This article was submitted to Organizational Psychology, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2022.1042661
                9806431
                36600712
                d559ef06-b76d-41b2-a2fa-e05420a7eaa6
                Copyright © 2022 Daza and Ilozumba.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 September 2022
                : 29 November 2022
                Page count
                Figures: 7, Tables: 8, Equations: 0, References: 109, Pages: 0, Words: 15314
                Categories
                Psychology
                Systematic Review

                Clinical Psychology & Psychiatry
                ethical theories,algorithmic bias,privacy,transparency,work,automation,social media

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