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The integration of artificial intelligence (AI) into
user experience (UX) design has initiated a paradigm shift in
digital interactions. Leveraging machine learning (ML), natural
language processing (NLP), and behavioral analytics, AI enables
highly personalized and adaptive interfaces. While enhancing
user satisfaction, this personalization may introduce ethical
challenges including dark patterns, cognitive bias exploitation,
and privacy violations. This paper critically explores these
dualities, evaluating personalization benefits alongside ethical
concerns. Through case studies, ethical frameworks, and analysis
of current legal standards like GDPR and DSA, we propose a
human-centered approach to AI in UX that balances innovation
and user rights. Our research includes quantitative analysis of
user engagement metrics and qualitative assessment of ethical
implications across various digital platforms.
Keywords:
Artificial Intelligence, User Experience (UX), Personalization, Ethical Design, Dark Patterns, Human-Centered Design, Algorithmic Bias, GDPR, Digital Services Act, Machine Learning
Cite Article:
"AI-Powered Personalization in UX: Balancing User Engagement and Ethical Design", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c518-c521, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504286.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator