Security and Privacy Implications of AI-powered Tax Filing Systems: Safeguarding Taxpayers Data in the Age of Automation
V. G. Suchitra, Shaila Kedla, A J Deepashree · 2024
The integration of artificial intelligence (AI) into tax filing systems has revolutionized traditional processes, promising enhanced efficiency and accuracy. However, alongside these benefits there comes a significant security and privacy concerns. This paper examines the multifaceted implications of AI-powered tax filing systems on security and privacy, exploring risks such as data breaches, unauthorized access, and the protection of sensitive taxpayer information. Drawing upon recent case studies and regulatory frameworks, this paper highlights the critical need for robust security measures and privacy safeguards to protect taxpayer data. Furthermore, it presents strategies to mitigate risks while ensuring compliance with legal and ethical standards. By providing insights for policymakers, tax authorities, and developers tasked with designing and implementing AI-driven tax filing systems, this paper aims to contribute to the development of secure and privacy-respecting tax filing solutions in the age of automation.