Arif Perdana, Tawei Wang, Saru Arifin
Artificial Intelligence (AI) in automated decision-making (ADM) systems is becoming more prevalent in business, enabling faster and more accurate decision-making. However, using ADM raises ethical concerns (i.e., privacy, bias, and accountability) and legal issues. Organizations using ADM systems should ensure that they have adequate controls and safeguards in place and are transparent and accountable for their actions. To address potential biases in ADM systems, it is essential to carefully review the data used to train algorithms and take steps to mitigate potential biases. In addition, traditional accountability structures may need to be reevaluated, considering the increasing use of AI in decision-making. Accountants can play a role in addressing these ethical challenges by ensuring that companies are transparent and accountable in their use of ADM systems and by helping to identify and mitigate any biases in the data and algorithms used. © Springer Nature Switzerland AG 2024. All rights reserved.
Monash University, Tangerang, Indonesia; DePaul University, Chicago, IL, United States; Universitas Negeri Semarang, Semarang, Indonesia
