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

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. https://doi.org/10.52398/gjsd.2022.v2.i2.pp27-35
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Abstract

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.

https://doi.org/10.52398/gjsd.2022.v2.i2.pp27-35
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Copyright (c) 2022 Shivaan Munnisunker

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