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              <text>Verma, Vijeta; Kumar, Priyanshu</text>
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              <text>Artificial Intelligence and Human Rights: Safeguarding Data Privacy and Ethical Values in the Digital Age</text>
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              <text>AI Transformations in Global Legal Systems;pp.391-409</text>
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              <text>&lt;a href="https://doi.org/10.4018/979-8-3373-7685-1.ch012" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3373-7685-1.ch012&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105040312869?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105040312869?origin=resultslist&lt;/a&gt;</text>
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              <text>Verma V., Christ University, India; Kumar P., Christ University, India</text>
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              <text>In the 21st century, the rapid advancement of Artificial Intelligence (AI) presents governments with the dual challenge of fostering technological innovation while safeguarding the rights and freedoms of their citizens. This comparative analysis examines how India addresses data privacy, human rights and ethical concerns arising from AI deployment. The study begins by tracing the evolution of Indias legal and policy framework, from the Information Technology Act, 2000 to the Digital Personal Data Protection Act, 2023, assessing how these measures respond to emerging AI-related threats and their implications for individual privacy and civil liberties. Further, the paper evaluates Indias engagement with international standards and best practices. Lastly, the study examines ethical and human rights challenges posedby AIapplications, including algorithmic bias, automateddecisionmaking, surveillance and deepfakes with a focus on high-stakes sectors like law enforcement, and welfare delivery. Copyright  2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.</text>
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              <text>ISBN: 979-833737687-5; 979-833737685-1; 979-833737686-8;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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