PSY-5402

Bilan, S., Suler, P., Skrynnyk, O., Krajnakova, E., & Vasilyeva, T. (2022). Systematic bibliometric review of artificial intelligence technology in organizational management, development, change and culture. Business: Theory and Practice, 23(1), 1. https://doi.org/10.3846/btp.2022.13204
This source provides students with an in-depth review of the available literature on artificial intelligence-based technological applications currently used across diverse workplaces and gives students insight into the pervasiveness of AI within all facets of organizational functions. It helps students understand how common AI is becoming within the world of work.

Bujold, A., Roberge-Maltais, I., Parent-Rocheleau, X., Boasen, J., Sénécal, S., & Léger, P.-M. (2023). Responsible artificial intelligence in human resources management: A review of the empirical literature. AI and Ethics, 1–16. https://doi.org/10.1007/s43681-023-00325-1
This source is a review of artificial intelligence in HR practices and gives students the knowledge to evaluate how AI use requires ethical guidelines to be clear and grounded in science.

Krijger, J. (2022). Enter the metrics: Critical theory and organizational operationalization of AI ethics. AI & SOCIETY: Journal of Knowledge, Culture and Communication, 37(4), 1427–1437. https://doi.org/10.1007/s00146-021-01256-3
This source is a review of artificial intelligence in operational support across organizations and outlines the ethical challenges that implementing AI brings to organizations. It helps students reflect on the ethics of AI and how a lack of guidelines can be detrimental to employees and customers.

American Psychological Association. (2017). Ethical principles of psychologists and code of conduct (2002, amended effective June 1, 2010, and January 1, 2017).
This source provides students the original text on ethical principles of psychologists and requires learners to become familiar with the ethical guidelines of the field by applying the principles to real world problems.