International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 4 (July-August 2025) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

Bridging The AI Governance Gap: Lessons For India’s DPDP Act From The EU AI Act And Other Global Standards

Author(s) Ms. Riddhi Rastogi, Mr. Aniket Dwivedi
Country India
Abstract Informational privacy, often called data privacy or data protection, is about a person's to manage how their personal information is composed, used, and shared. Recent AI developments worldwide have captivated many. The Indian population is also experiencing a technological revolution. India is slowly becoming more reliant on technology for most of the services needed in daily life. The use of the internet and the Internet of Things leaves digital footprints that create big data. This data can be both personal and non-personal. Information about individuals can be used to understand their socio-economic profile, culture, lifestyle, and personal details such as love life, health, well-being, sexual preferences, sexual orientation, and various other personal traits. However, issues like data breaches have exposed users to various risks, including cyber crimes and other fraudulent practices. The following queries are addressed in this article's critical analysis of the recently passed Digital Personal Data Protection Act, 2023 (DPDP): How does it handle concerns about data processing and information privacy? What safeguards for information privacy are included in the DPDP Act? How are the state's interests in maintaining national security and safety weighed against individual rights regarding data protection? Can this right be used against non-state actors as well as the state? Following an analysis of the DPDP Act, the paper makes the case for additional enhancements in a number of areas most notably that important choices involving personal information have to be subject to human review to make sure they are not the exclusive product of automated data processing.
Keywords privacy, personal information, AI developments, worldwide, technological revolution, Internet, Algorithmic Decision-Making, Machine Learning, Predictive Analytics, DPDP Act.
Field Sociology > Administration / Law / Management
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-07-15
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.50792
Short DOI https://doi.org/g9s9sm

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