Ethics and Accountability in Artificial Intelligence-Based Managerial Decision Making

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Published: 2022-01-23
Keywords:
Artificial intelligence, Managerial decision making, Business ethics, Accountability, Algorithm bias, Transparency, Human monitoring

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Abdul Gani
Malaysia Sabah University, Malaysia
Didit Darmawan
Sunan Giri University of Surabaya, Indonesia

Abstract

The use of Artificial Intelligence (AI) in managerial decision-making has the potential to improve organizational efficiency, accuracy and productivity. However, this technology also raises major challenges related to business ethics and accountability. The main issues that arise are the potential for algorithmic bias that can exacerbate discrimination in the decision-making process as well as the lack of clarity regarding accountability when decisions made by AI adversely affect the company or other stakeholders. Reduced transparency in the decision-making process generated by AI also adds uncertainty for stakeholders in understanding the basis of the decision. While AI can improve business effectiveness, it is important for organizations to develop policies that ensure the use of AI maintains ethical values, transparency, and accountability. Adequate human monitoring of AI decisions is essential to ensure that they are fair, accountable, and do not harm any party. Companies should carefully craft clear guidelines and ensure that the use of AI is in line with widely accepted principles in society to maximize the benefits of AI and mitigate ethical risks.

Article Details

Issue

Vol. 2 No. 1 (2022): Journal of Social Science Studies (JOS3)

Section

Articles

How to Cite

Gani, A., & Darmawan, D. (2022). Ethics and Accountability in Artificial Intelligence-Based Managerial Decision Making. Journal of Social Science Studies, 2(1), 147-152. https://jos3journals.id/index.php/jos3/article/view/92

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