Exploring the Adaptation of Artificial Intelligence in Whistleblowing Practice of the Internal Auditors in Malaysia

• Main Authors: Noorhayati, Mansor, Nor Raihana Asmar, Mohd Noor
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: HG Finance
• Online Access: http://eprints.unisza.edu.my/1871/1/FH03-FPP-20-37008.pdf; http://eprints.unisza.edu.my/1871/

News of high-profile frauds and financial malpractices continue to make daily media headlines after the change of government in May 2018. Whether in the private or government sector, corruptions, financial misconduct and malpractices have always been associated with lack of proper auditing and ineffective internal control systems. Various initiatives have been developed to reduce the negative perception of public sector frauds including the implementation of whistleblowing practices in public sector. However, to date, it is still questionable whether this practice is efficient and effective due to the increasing trend in reported frauds in the government departments. Thus, this study examines the practice of whistleblowing in Malaysian public sector agencies. Total of 500 questionnaires are distributed to the internal auditors in public sector agencies. To achieve the objective of this study, the application of artificial intelligence in the practice of the whistleblowing will be examined to see the effectiveness of this practice. The findings are expected to enhance the new Malaysian government initiatives in fighting frauds and corruptions. The effect of whistleblowing practice will provide further evidence to strengthen the internal control system and practices and improve the public sector accountability and transparency