Due to the increasing adoption of AI technology in our society, this paper aims to develop a complete overview of the current debate on artificial intelligence bias fairness and ethics in organisation and managerial studies. To this end, we adopted the Computational Literature Review (CLR) method to conduct an impact and a topic modelling analysis of the relevant literature, using the Latent Dirichlet Allocation (LDA) technique. As a result, we identified and analysed 18 topics related to the selected domain. We further classified those topics into 5 categories creating a clear distinction between the social and the technical nature of a bias and its origins. Finally, focusing on the emerging topics, we proposed a set of guiding questions that might foster future research directions. This paper provides insights to scholars and managers interested in AI bias and ethical issues and could be used also as a guide to perform CLR.