Integrating Artificial Intelligence in Management: Opportunities and Ethical Considerations

The significance of ethical considerations has been emphasised by management academics and professionals. Nevertheless, there hasn't been much work done till date to theoretically comprehend people's or organisations' ethical stances with regard to Human Resource Management (HRM) decision-making procedures, the choice of particular ethical stances and tactics, or the post-decision accounting for those choices. In order to achieve this, we offer a framework for a throughput model that characterizes people's decision-making in the context of algorithmic HRM. The model illustrates how perceptions, assessments, and information utilisation influence the choice of strategy, showing how the application of specific ethical decision-making algorithmic pathways may enable a variety of tactics. This study sheds light on the various issues regarding the effects and acceptability of integrating artificial intelligence (AI) with human resource management. This research uses multidisciplinary theoretical lenses, including AI-augmented HRM assimilation processes, AI-mediated social exchange, and the judgement and choice literature, to address issues regarding the impact and acceptance of artificial intelligence (AI) integration with HRM. It is suggested that they are of crucial significance in HRM strategy selection and drawing attention to the use of algorithmic ethical perspectives in the adoption of AI for improved HRM outcomes as far as accountability and intelligibility of AI-generated HRM decision-making are concerned.