The Responsible Use of Artificial Intelligence in Managing Employees: Ethical Considerations for Human Resources in South Africa

Thulile L. Ngonyama-Ndou ()
Additional contact information
Thulile L. Ngonyama-Ndou: University of South Africa

Chapter Chapter 15 in HRM, Artificial Intelligence and the Future of Work, 2024, pp 285-304 from Springer

Abstract: Abstract As the world of work transitions to the digital era, various human resource business processes are being redesigned to align with digital systems and artificial intelligence (AI). The use of cutting-edge technologies in human resources (HR) presents an opportunity to improve efficiency, effectiveness, and competitive advantage. For example, several success stories have been associated with improved efficiency, decision-making, and cost reduction in hiring. However, ethical concerns relating to gender and racial bias, as well as breaches of employees’ personal data, have surfaced. Therefore, AI-based decision-making should be predicated on sound, reliable, and defendable ethical business standards. Regardless of digitalisation, HR must remain accountable for practices that fully comply with legislation, such as the Bill of Rights, the Employment Equity Act, and the Protection of Personal Information Act, in the South African context. This chapter provides guidance for HR practitioners concerning ethical issues that necessitate careful consideration when artificial intelligence is deployed within human resources. This chapter draws insights and approaches from relevant models from which South African-based organisations can learn.

Keywords: Artificial intelligence; Automation; Digitalisation; Ethics; Fourth industrial revolution; Human resources; South Africa (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-62369-1_15

Ordering information: This item can be ordered from
http://www.springer.com/9783031623691

DOI: 10.1007/978-3-031-62369-1_15

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().