MGT-7019 -DEV

Abernethy, J., Candelon, F., Evgeniou, T., Gupta, A., & Lostanlen, Y. (2024). Bring human values to AI. Harvard Business Review, 102(2), 60–68.
An article that discusses a framework for creating AI-enabled products and services that are safe to use and aligned with company values.

Ayub, Z., & Banday, M. T. (2023). Ethics in artificial intelligence: An analysis of ethical issues and possible solutions. 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Smart Technologies, Communication and Robotics (STCR), 2023 Third International Conference On, 1, 1–6.
This conference paper discusses the ethical issues of AI and strategies and techniques for assessing and dealing with the issues.

Bankins, S., & Formosa, P. (2023). The ethical implications of artificial intelligence (AI) for meaningful work. Journal of Business Ethics, 185, 725–740.
The article looks at how AI and meaningful work intersect. And the ways in which AI This can enhance or diminish employees’ experiences of meaningful work.

Figueroa-Armijos, M., Clark, B. B., & da Motta Veiga, Serge P. (2022). Ethical perceptions of AI in hiring and organizational trust: The role of performance expectancy and social influence. Journal of Business Ethics, 186(2023), 179-197.

Hermann, E. (2022). Leveraging Artificial intelligence in marketing for social good—An ethical perspective. Journal of Business Ethics, 179(1),43–61.
From a multi-stakeholder perspective, this article looks at the ethical challenges of using AI in marketing.

Munoko, I., Brown-Liburd, H. L., & Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics, 167(2), 209–234.
Research that explores the benefits and ethical implications of using AI in auditing.

Pasricha, S. (2023). AI Ethics in Smart Healthcare. IEEE Consumer Electronics Magazine, Consumer Electronics Magazine, IEEE, IEEE Consumer Electron. Mag, 12(4), 12–20.
His article discusses the emerging ethical challenges that are present with AI-driven healthcare especially as these challenges relate to transparency, bias, privacy, safety, responsibility, justice, and autonomy.

National University. (n.d). Business ethics library guide.
A National University Library pages focused on business ethics research and information.

National University. (n.d.). Research methods & design – Research ethics & quality library guide.
Research methods and design foundation information to ensure ethical business research.

Siebecker, M. R. (2019). Making corporations more humane through artificial intelligence. Journal of Corporation Law, 45(1), 95–149.

Stahl, B. C., Schroeder, D., & Rodrigues, R. (2022). Ethics of artificial intelligence: Case studies and options for addressing ethical challenges. Springer International Publishing AG.