Key Considerations of Ethical Artificial Intelligence That Organisations Need to Consider for Success
Cover of GJSD Vol. 2, Issue 2.


AI Ethics, Biases, Data Security & Algorithmic Accountability

How to Cite

Munnisunker, S. (2022). Key Considerations of Ethical Artificial Intelligence That Organisations Need to Consider for Success. GILE Journal of Skills Development, 2(2), 27–35.


It is argued that while Artificial Intelligence is far from having a consciousness like humans do, its consequences on society are minimal. Thus there is no rush to consider ethical issues. However, Artificial Intelligence applications are being implemented in almost every industry, imposing social unrest and upheavals for businesses. This paper aims to advocate for the importance and urgency of Artificial Intelligence ethics. This paper explores the different areas of ethics and then explains the concept of Artificial Intelligence ethics. A literature review is provided addressing four areas of Artificial Intelligence ethics that leaders must address if they are to win successfully in the industry in which they operate. These areas are biases, data security, explainability, and impact. A case study focusing on the fictional company Strategeion is examined to illustrate the complexities of an Artificial Intelligence system in which a potential candidate for a job was discriminated against because of an error in its learning system.


Appen. (2021). Ethical AI Techniques to Minimize Bias Throughout the Model Build Process. Available from

Aysolmaz, B., Dau, N., & Iren, D. (2020). Preventing algorithmic bias in the development of algorithmic decision-making systems: A Delphi study. 53rd Hawaii International Conference on System Sciences.

Bartneck, C., Lu?tge, C., Wagner, A., & Welsh, S. (2021). An Introduction to Ethics in Robotics and AI. Cham: Springer.

Bird, E., Fox-Skelly, J., Jenner, N., Larbey, R., Weitkamp, E., & Winfield, A. (2020). The Ethics of Artificial Intelligence: Issues and Initiatives. Brussels: European Parliamentary Research Service.

Dehaene, S., Lau, H.,, & Kouider, S. (2017). What is consciousness, and could machines have it? Science, 358(1), 486-492.

Dent, J. C. (2012). Morality, ethics, norms and research misconduct. Journal of Conservative Dentistry, 15(1), 92-93.

Eitel-Porter R. (2020). Beyond the promise: Implementing ethical AI. AI and Ethics, 1(1), 73-80.

Ewing, A. (2013). The definition of good. (1st Edition). London: Routledge.

Franzke, A. S. (2022). An exploratory qualitative analysis of AI ethics guidelines. Journal of Information, Communication and Ethics in Society. Advanced Online Publication.

Guarini, M. (2013). Introduction: machine ethics and the ethics of building intelligent machines. Springer Science, 32(1), 213-215.

Hasan T., Jawaad, M., & Butt I. (2021). The influence of person–job fit, work–life balance, and work conditions on organizational commitment: Investigating the mediation of job satisfaction in the private sector of the emerging market. Sustainability, 13(12), 6622.

IBE. (2018). Business Ethics and Artificial Intelligence. London: IBE.

IBM. (2022). AI Ethics in Action: An Enterprise Guide to Progressing Trustworthy AI. Available from

Österberg, J. (2019). Deontological Ethics: Assessment. Philosophical Studies Series.

Ouchchy, L., Coin, A., & Dubljevi?, V. (2020). AI in the headlines: The portrayal of the ethical issues of artificial intelligence in the media. AI & Society, 35(1), 927-936.

Pásztor, D. (2018). AI UX: 7 Principles of Designing Good AI Products. Available from:

PriceWaterhouseCoopers. (2022). Understanding algorithmic bias and how to build trust in AI (p. 1). Los Angeles: PriceWaterhouseCoopers. Retrieved from

Princeton University. (2018). Hiring by Machine. Available from

Ransbotham, S. (2022). AI’s Prediction Problem. Available from

Singer, M. G. (2004). The concept of evil. Philosophy, 79(308), 185-214.

Sun, W., Nasraoui, O., & Shafto, P. (2020). Evolution and impact of bias in human and machine learning algorithm interaction. PLoS One, 15(8), e0235502

Timmons, M. (2020). Normative Ethics. International Encyclopedia of Ethics.

Tunggal, A. T. (2022). The 66 Biggest Data Breaches. Available from

UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. Paris: UNESCO. Available from

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2022 Shivaan Munnisunker


Metrics Loading ...