The Impact of Artificial Intelligence on Human Resources Management Strategy: Opportunities for the Humanisation and Risks
DOI:
https://doi.org/10.24234/wisdom.v2i1.763Keywords:
Artificial Intelligence, Digital Humanism, Experience Management, Engagement, Wellbeing, Discrimination, HR Management StrategyAbstract
The article discusses the growing role of artificial intelligence in human resources management strategy. The results of research and practical experience confirm the possibility of using artificial intelligence to humanise human resource management (reducing bias in the selection of personnel, mastering employees’ experience, personalising training, analysing the emotional state of employees, and managing their wellbeing) are generalised. Highlighted are the risks of dehumanisation of personnel management when introducing artificial intelligence, which can be caused by both new threats and the strengthening of existing problems in this area.
Downloads
References
Andersen, M. (2017). Human capital analytics: The winding road. Journal of Organizational Effectiveness: People and Performance, 4(2), 133-136. https://doi.org/10.1108/JOEPP-03-2017-0024
Arslan, A., Ruman, A., Naughton, S., & Tarba, S. Y. (2021). Human dynamics of automation and digitalisation of economies: Discussion on the challenges and opportunities. In S. H. Park, M. A. Gonzalez-Perez, & D. E. Floriani (Eds), The Palgrave Handbook of Corporate Sustainability in the Digital Era (pp. 613-629). Palgrave Macmillan: Springer Nature.
Baker-Brunnbauer, J. (2021). Management perspective of ethics in artificial intelligence. AI and Ethics, 1, 173-181. doi:10.1007/s43681-020-00022-3
BCG (2020, April 2). The rise of the ai-powered company in the postcrisis world. Retrieved March 11, 2022, from https://www.bcg.com/publications/2020/business-applications-artificial-intelligence-post-covid
Bhave, D. P., Teo, L. H., & Dalal, R. S. (2020). Privacy at work: A review and a research agenda for a contested terrain. Journal of Management, 46(1), 127-164. https://doi.org/10.1177/0149206319878254
Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. In K. Frankish, & W. Ramsey (Eds.), The Cambridge handbook of artificial intelligence (pp. 316-334). Cambridge: Cambridge University Press. https//doi.org/10.1017/CBO9781139046855.020
Coeckelbergh, M. (2021). Etica de la Inteligencia Artificial (Ethics of artificial intelligence, in Spanish). Madrid: Catedra.
Cortina, A. y Serra, M.ñA. (2016). Humanidad. Desafios eticos de las tecnologias emergentes (Humanity. Ethical challenges of emerging technologies, in Spanish). Madrid: Ediciones Internacionales Universitarias.
Coupe, T. (2019). Automation, job characteristics and job insecurity. International Journal of Manpower, 40(7), 1288-1304.
Deloitte (2020). Global human capital trends. Retrieved March 15, 2022, from https://www2.deloitte.com/us/en/insights/focus/human-capital-trends/2020
Demir, M., McNeese, N. J., & Cooke, N. J. (2020). Understanding human-robot teams in light of all-human teams: Aspects of team interaction and shared cognition. International Journal of Human-Computer Studies, 140, 102436.
Dieguez, A. (2017). Transhumanismo. La busqueda tecnologica del mejoramiento humano (Transhumanism. The technological quest for human enhancement, in Spanish). Barcelona: Herder.
Dieguez, A. (2021). En el control de la inteligencia artificial nos jugamos el futuro (In the control of artificial intelligence we play the future, in Spanish). Retrieved March 9, 2022, from https://theconversation.com/en-el-control-de-la-inteligencia-artificial-nos-jugamos-el-futuro-157019
Fernandez-Fernandez, J. L. (2021). Hacia el Humanismo Digital desde un denominador comun para la Ciber Etica y la Etica de la Inteligencia Artificial (Towards digital humanism, from a common denominator for cyber ethics and artificial intelligence (AI) ethics, in Spanish). Disputatio. Philosophical Research Bulletin, 10(17), 107-130.
Gartner (2019). Gartner identifies three most common AI use cases in HR and recruiting. Retrieved March 5, 2022, from from https://www.gartner.com/en/newsroom/press-releases/2019-06-19-gartner-identifies-three-most-common-ai-use-cases-in-
Gillath, O., Ai, T., Branicky, M. S., Keshmiri, S., Davison, R. B., & Spaulding, R. (2021), Attachment and trust in artificial intelligence. Computers in Human Behavior, 115, 106607.
Haidt, J., & Kesebir, S. (2010). Morality. In S. Fiske, D. Gilbert, & G. Lindzey (?ds.), Handbook of Social Psychology (pp. 797-832). (5th Âd.). Hobeken, NJ: Wiley.
Ivanov, S., & Webster, C. (2019). Robots, artificial intelligence and service automation in travel, tourism and hospitality. Bingley: Emerald Publishing.
Kaplan, A., & Haenlein, M. (2020). Rulers of the world unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63, 37-50.
Konovalova, V. G., & Mitrofanova, A. E. (2021). Social and ethical problems of digital technologies application in human resource management. Lecture Notes in Networks and Systems, 133, 735-742. https://link.springer.com/chapter/10.1007/978-3-030-47458-4_85?error=cookies_not_supported&code=ba930d99-8110-4bec-bb9d-f38524a0f4dd
KPMG (2019). Rise of the humans 3: Shaping the workforce of the future. Retrieved February 20, 2022, from https://assets.kpmg/content/dam/kpmg/xx/pdf/2018/11/rise-of-the-humans-2019.pdf
Levenson, A, & Fink, A (2017) Human capital analytics: too much data and analysis, not enough models, and business insights. Journal of Organizational Effectiveness: People and Performance, 4(2), 145-156. https://doi.org/10.1108/JOEPP-03-2017-0029
Malik, A., Budhwar, P., & Srikanth, N. R. (2020). Gig economy, 4IR and artificial intelligence: Rethinking strategic HRM. In Kumar, P., Agrawal, A. and Budhwar, P. (Eds.), Human & technological resource management (HTRM): New insights into revolution 4.0 (pp. 75-88). Bingley: Emerald Publishing Limited. https://doi.org/10.1108/978-1-83867-223-220201005
Martin, K. (2019). Ethical implications and accountability of algorithms. Journal of Business Ethics, 160, 835-850.
Mercer (2019). Global talent trends study. Retrieved February 9, 2022, from https://www.mercer.com/our-thinking/career/global-talent-hr-trends.html
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1-21.
Muehlhauser, L, & Helm, L. (2012). The singularity and machine ethics. In Singularity hypotheses (pp. 101-126). Berlin, Heidelberg: Springer.
Nica, E., Miklencicova, R., & Kicova, E. (2019). Artificial intelligence-supported workplace decisions: Big data algorithmic analytics, sensory and tracking technologies, and metabolism monitors. Psychosociological Issues in Human Resource Management, 7(2), 31-36.
Petriglieri, G., Ashford, S. J., & Wrzesniewski, A. (2019). Agony and ecstasy in the gig economy: cultivating holding environments for precarious and personalised work identities. Administrative Science Quarterly, 64(1), 124-170.
Regulation (EU) 2016/679 of the European Parliament and of the Council (2016, April 27) on the protection of natural persons with regard to the processing of personal data and on the free movement of such data and repealing Directive 95/46/EC (General Data Protection Regulation) (Text with EEA relevance). Retrieved April 6, 2022, from http://data.europa.eu/eli/reg/2016/679/2016-05-04.
Rodney, H., Valaskova, K., & Durana, P. (2019). The artificial intelligence recruitment process: How technological advancements have reshaped job application and selection practices. Psychosociological Issues in Human Resource Management, 7(1), 42-47.
Tikhonov, A. I. (2020). Modern approaches to the integrated assessment of personnel risks of an industrial enterprise. Research in World Economy, 11(3), 99-107.
Wagner, D. N. (2020). Augmented Human-Centered Management ñ Human Resource Development for highly automated business environments. Journal of Human Resource Management, XXIII(1), 13-27.
Wagner, D. N. (2021). Artificial intelligence and the dark side of management. ROBONOMICS: The Journal of the Automated Economy, 1, 10. Retrieved April 8, 2022, from https://journal.robonomics.science/index.php/rj/article/view/10
Wenzel, R., & Van Quaquebeke, N. (2017). The Double-Edged Sword of Big Data in Organizational and Management Research: A Review of Opportunities and Risks. Organizational Research Methods. https://doi.org/10.1177/1094428117718627
Yampolskiy, R. V. (2015). Artificial superintelligence: A futuristic approach. Oxon: Routledge.
Yudkowsky E. (2011). Complex value systems in friendly AI. In J. Schmidhuber, K. R. Thorisson, & M. Looks (Eds), Artificial general intelligence. AGI 2011. Lecture notes in computer science. (Vol. 6830). Berlin, Heidelberg: Springer.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 scientific journal WISDOM
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Creative Commons Attribution-Non-Commercial (CC BY-NC). CC BY-NC allows users to copy and distribute the article, provided this is not done for commercial purposes. The users may adapt – remix, transform, and build upon the material giving appropriate credit, and providing a link to the license. The full details of the license are available at https://creativecommons.org/licenses/by-nc/4.0/.