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@article{193135,
        author = {Mr. Yash Baiju Naik and Mr. Dhairya Rajesh Joshi and Mr. Darshan Maheshbhai Patel},
        title = {The Conceptual Beliefs of Contemporary Evidence, Algorithmic Personalization, Human Autonomy and Ethical AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3817-3820},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193135},
        abstract = {Artificial intelligence (AI) with driven personalization increasingly shapes user experiences across journalism, marketing, mental health, education, and creative work. While such systems promise enhanced engagement and efficiency, they also raise concerns regarding autonomy, privacy, transparency, and algorithmic bias. This conceptual review synthesizes recent empirical, systematic, and conceptual studies (2022–2025) to develop an integrative framework linking algorithmic personalization with user autonomy, ethical governance, and socio-technical outcomes. Drawing on qualitative interviews, systematic literature reviews, bibliometric analyses, and conceptual models, the review identifies five dominant thematic domains: (1) personalization–autonomy tension, (2) customer and user experience optimization, (3) transparency and explainability, (4) ethical risks and governance, and (5) human flourishing and AI collaboration. The paper proposes a conceptual model positioning transparency and user agency as mediators between algorithmic personalization and individual/societal outcomes. Practical recommendations and research implications are advanced to guide responsible AI deployment and future scholarship.},
        keywords = {algorithmic personalization; user autonomy; ethical AI; transparency; digital marketing; human–AI interaction},
        month = {February},
        }