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Informative Article | Science and Technology | India | Volume 10 Issue 12, December 2021
Augmenting the Watchdog: AI - Driven Compliance Audits for Enhanced Efficiency and Accuracy
Abstract: Data privacy and regulatory environments change over time hence the need for robust compliance auditing processes. Though traditional methods are useful, we must discover new ideas to handle the limitations of these approaches concerning size and accuracy. In this piece, we focus on how AI may transform the auditing practices that ensure government and private data operations adhere to certain requirements. With the help of machine learning, natural language processing and other AI methods it could be possible to automate processes driving insights from a huge amount of data while also identifying compliance issues at greater efficiency. With examples coming from health care, banking, and government settings we describe a transformation that AI - driven audits can bring to compliance posture and risk mitigation. Finally, we mention ethical issues which arise in this new field and consider the possible directions to further development for it underlining that human control is vital as well as constant research aimed at ensuring an efficient and responsible adoption of compliance driven by AI.
Keywords: Artificial Intelligence, Compliance Audits, Government Data Processes, Private Data, Efficiency, Accuracy, Industry Sectors
Edition: Volume 10 Issue 12, December 2021,
Pages: 1437 - 1443