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@article{193137,
        author = {Mr. Yash Baiju Naik and Mr. Dhairya Rajesh Joshi and Mr. Darshan Maheshbhai Patel},
        title = {The Umbrella and Critical Perception of Artificial Intelligence with Driven Personalization Across Marketing, Media, and Well-Being},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3824-3827},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193137},
        abstract = {Artificial Intelligence (AI) with driven personalization has rapidly transformed domains including digital marketing, journalism, e-commerce, creative work, and mental health support. This umbrella and critical review synthesize evidence from recent qualitative studies, systematic reviews, conceptual papers, and mixed-methods research (2023–2025) to examine how algorithmic personalization affects autonomy, customer engagement, transparency, ethics, and human flourishing. Drawing on ten reviews and empirical investigations, the paper integrates findings across disciplines to identify convergent themes, methodological gaps, and unresolved ethical tensions. Results indicate that AI personalization enhances efficiency, engagement, and adaptive learning, but simultaneously introduces risks related to privacy erosion, algorithmic bias, reduced autonomy, opacity, and over-reliance on automated systems. Critically, most evidence relies on small qualitative samples or secondary literature, limiting generalizability. The review proposes an integrative framework linking personalization benefits with autonomy-preserving design and offers recommendations for researchers, practitioners, and policymakers.},
        keywords = {artificial intelligence; personalization; autonomy; transparency; digital marketing; ethics},
        month = {February},
        }