“A Study On The Intersection Of Personalization And User Privacy In AI-Driven OTT Content Curation”

Abstract

This paper delves into the profound impact of AI-enabled content curation within over-the-top (OTT) platforms, shedding light on the intricate balance required between personalization and user privacy. OTT platforms have redefined media consumption paradigms, harnessing the power of artificial intelligence to furnish bespoke content recommendations, thereby elevating user experience and engagement to unprecedented levels. However, as AI algorithms evolve in sophistication, the specter of concerns encompassing data privacy, algorithmic bias, and transparency looms ever larger. Through a meticulous examination, this paper scrutinizes both the advantages and obstacles posed by AI-driven content curation, offering nuanced strategies to uphold the delicate equilibrium between delivering personalized content and safeguarding user privacy. Moreover, it probes deep into the ethical quandaries, regulatory imperatives, and industry benchmarks essential for cultivating an environment wherein users can revel in personalized content while exercising unyielding control over their data. Furthermore, the paper conducts incisive case studies of leading OTT platforms, such as Netflix and Amazon Prime Video, to illuminate their adept navigation of the tightrope between personalization and privacy. Ultimately, this research endeavors to furnish a holistic comprehension of the ever-evolving AI landscape within OTT platforms, underlining the indispensable necessity of striking the right balance for enduring growth and fostering user trust.