Privacy-Aware Artificial Intelligence: A Review of Design Principles and Applications
DOI:
https://doi.org/10.47756/aihc.y9i1.169Palabras clave:
Data-Protection aware AI, Artificial Intelligence, Personal Data Protection, Ethical Principles in AI, Artificial Intelligence RegulationResumen
Artificial intelligence has emerged as a transformative tool in managing personal data, presenting unprecedented opportunities and significant challenges. This review provides an overview of AI's ethical, technological, and legal dimensions in the context of personal data protection. A systematic literature review was conducted to identify key themes and gaps in these areas. Ethically, the findings highlight the importance of transparency, accountability, and privacy as guiding principles for the responsible use of AI. Technologically, advancements in AI offer innovative solutions for safeguarding data; however, challenges persist in ensuring their interoperability and adaptability across various applications. Legally, regulatory frameworks such as the General Data Protection Regulation (GDPR) and Mexico's General Law on Personal Data Protection Held by Obligated Subjects (LGPDPPSO) illustrate progress in safeguarding personal data. Yet, gaps in enforcement mechanisms and inconsistencies across jurisdictions highlight the need for further refinement. This review underscores the necessity of interdisciplinary collaboration to navigate the complexities of AI and personal data protection. By integrating ethical, technological, and legal perspectives, this study aims to contribute to developing AI systems that respect privacy and remarks on the importance of personal data protection-aware artificial intelligence applications while adapting to diverse regulatory environments.
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