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Informative Article | Computer Science | United States of America | Volume 14 Issue 1, January 2025 | Popularity: 6.3 / 10
Rethinking Global AI Privacy: Bridging Theory, Practice, and Diverse Regulatory Contexts
Arnaud M. Tsombeng Nkeumo, Karl Kiam
Abstract: Artificial Intelligence (AI) has become ubiquitous across the globe?powering personalized recommendations, medical diagnoses, and advanced analytics at an unprecedented scale. Yet, alongside its vast potential for innovation and societal benefit, AI?s increasing reliance on personal data raises urgent questions about user autonomy, privacy, and ethical governance. This paper offers a comprehensive and newly expanded investigation into privacy challenges posed by AI-driven systems, critically addressing known theoretical and empirical gaps. We augment earlier Western-centric analyses by incorporating nuanced insights into data governance in developing economies and non-Western contexts. Additionally, we delve into the technical implementation details essential for operationalizing proposed solutions?particularly with regard to computational constraints and resource variability around the world. By proposing a multi-layered framework that spans policy harmonization, privacy-enhancing technologies, and stakeholder collaboration, we present a globally attuned strategy for reconciling innovation and individual rights in the age of intelligent machines. We conclude by underscoring the urgent need for empirical studies, grassroots advocacy, and context-specific regulatory frameworks that can ensure AI?s continued growth without compromising personal autonomy and societal well-being.
Keywords: Privacy, Artificial Intelligence, Data Sovereignty, Re-identification, Regulation, Privacy-Enhancing Technologies, Ethical AI, Global Governance, User Autonomy, Non-Western Contexts
Edition: Volume 14 Issue 1, January 2025
Pages: 1285 - 1288
DOI: https://www.doi.org/10.21275/SR25127051226
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