DIGITAL RIGHTS AND DATA PRIVACY IN THE ERA OF ARTIFICIAL INTELLIGENCE: LEGAL CHALLENGES, ETHICAL CONSIDERATIONS, AND GLOBAL REGULATORY FRAMEWORKS

DIGITAL RIGHTS AND DATA PRIVACY IN THE ERA OF ARTIFICIAL INTELLIGENCE: LEGAL CHALLENGES, ETHICAL CONSIDERATIONS, AND GLOBAL REGULATORY FRAMEWORKS | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Grow with Scientific Culture Published May 8, 2026 | Version v1 Journal article Open DIGITAL RIGHTS AND DATA PRIVACY IN THE ERA OF ARTIFICIAL INTELLIGENCE: LEGAL CHALLENGES, ETHICAL CONSIDERATIONS, AND GLOBAL REGULATORY FRAMEWORKS Authors/Creators Sachin B Jadhav, Shalini Hanok, Tigulla Rajitha, Dr. R. Balakrishnan, Mr. Venkoba Kutagamari, Dr. Rajendra Kumar Ganiya (Contact person) 1 Show affiliations 1.

Assistant Professor, Department of Integrated BTech (AI), Sanjivani University, India Associate Professor, Department of Electronics and Communication Engineering, ATME College of Engineering, Mysuru, Karnataka, India Assistant Professor, School of Information Science, Presidency University, Bangalore, India Associate Professor, School of Information Science, Presidency University, Bangalore, India Assistant Professor (Grade 1), School of Information Science, Presidency University, Bengaluru, India Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India Description The rapid growth of artificial intelligence (AI) has increased the scale of personal data processing, which has raised serious concerns about personal data rights and privacy. The existing regulations, such as the General Data Protection Regulation (GDPR), are intended to address these issues, but their applicability to AI-based technologies remains a question. To analyze the relevance and effectiveness of GDPR provisions in the context of AI, identify associated legal and ethical challenges, and examine regulatory gaps in governing AI-based data processing. A qualitative doctrinal research approach was adopted using a structured GDPR question–answer dataset. The dataset was analyzed through thematic categorization, statistical evaluation, and interpretive legal analysis to assess key regulatory domains and their implications for AI systems. The analysis revealed that GDPR provisions are primarily focused on governance mechanisms, including accountability, data subject rights, and enforcement structures. Statistical findings demonstrated significant variability in textual complexity and thematic distribution across regulatory domains. Key challenges identified include limitations in transparency, difficulties in implementing the right to explanation, and gaps in addressing algorithmic bias and automated decision-making. While GDPR provides a comprehensive foundation for data protection, it lacks explicit provisions for AI-specific challenges. Effective AI governance requires integration of legal, technical, and ethical frameworks, along with adaptive regulatory approaches to ensure the protection of digital rights in evolving technological environments. Files 746-SC+12(4)2026+20260415122251397_SC_004-Vol.+12.4+(2026)_Galley+proof_Scientific+Culture_Digital+Rights+and+Data+Privacy+in+the+Era+(1).pdf Files (667.6 kB) Name Size Download all 746-SC+12(4)2026+20260415122251397_SC_004-Vol.+12.4+(2026)_Galley+proof_Scientific+Culture_Digital+Rights+and+Data+Privacy+in+the+Era+(1).pdf md5:9e11ca20846b73904b5cad47b99ba2ed 667.6 kB Preview Download 57 Views 45 Downloads Show more details All versions This version Views Total views 57 57 Downloads Total downloads 45 45 Data volume Total data volume 35.4 MB 35.4 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Artificial Intelligence, Data Privacy, GDPR, Digital Rights, AI Governance. Details DOI DOI Badge DOI 10.5281/zenodo.20078691 Markdown [](https://doi.org/10.5281/zenodo.20078691) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20078691.svg :target: https://doi.org/10.5281/zenodo.20078691 HTML <a href="https://doi.org/10.5281/zenodo.20078691"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20078691.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.20078691.svg Target URL https://doi.org/10.5281/zenodo.20078691 Resource type Journal article Publisher Zenodo Published in SCIENTIFIC CULTURE, 12(4), ISSN: 2407-9529, 2026. Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 8, 2026 Modified May 8, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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