The Impact of the Right to Be Forgotten on AI-driven Data Retention Practices in Sri Lankan Context: A Comparative Study of Regulatory Approaches and Compliance

Abstract

This paper investigates the impact of the Right to Be Forgotten on AI-driven data retention practices, with a particular emphasis on the legal background and implications in Sri Lanka. The study investigates how the Right to Be Forgotten has influenced AI data retention policies, the legal context around RTBF and AI in Sri Lanka, and the benefits and drawbacks of RTBF in the AI area. The major goal is to get a thorough knowledge of the relationship between RTBF and AI, as well as to identify the difficulties and potential for developing effective regulatory frameworks in Sri Lanka. The data was gathered through a comparative document analysis. The study found that there is currently no effective mechanism to remove data from AI systems, raising serious concerns about the possibility of establishing the right to be forgotten in AI. Furthermore, it was determined that Sri Lanka lacks suitable laws to handle the right to be forgotten and data privacy concerns associated with AI, revealing a serious regulatory gap. Furthermore, the study identifies both the benefits and drawbacks of implementing RTBF in AI. The paper concludes by emphasising the importance of balanced legislation that protects privacy while promoting innovation.