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
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Reviewer Referral Program
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 6 Issue 6
November-December 2024
Indexing Partners
Legal Challenges of Artificial Intelligence in India’s Cyber Law Framework: Examining Data Privacy and Algorithmic Accountability Via a Comparative Global Perspective
Author(s) | Siva Vignesh S.K.V, Nagarjun D.N |
---|---|
Country | India |
Abstract | Artificial Intelligence (AI) has been quickly evolving and disrupted many domains such as cybersecurity, governance, law enforcement etc. But with this evolution comes several legal questions to consider, in many cases, the current laws just don't fit. The complexities surrounding AI technology, particularly regarding issues of algorithmic bias and automated decision-making, present new challenges for which the Information Technology Act, of 2000, was not originally designed. This research focuses on two critical factors that demand urgent attention: Algorithmic Accountability and Data Privacy. While algorithmic accountability concerns the need for transparency and the ability to trace decision-making processes, data privacy revolves around safeguarding personal information from unethical AI usage. The absence of clear provisions/interpretation addressing these two factors not only weakens the Indian legal regime but also threatens the protection of individual rights. To address these issues, this research provides a comparative analysis using global models, using information gathered from frameworks like the Algorithmic Accountability Act in the US and the AI Act in the EU. These frameworks have established worldwide guidelines for AI governance by introducing extensive procedures to control algorithmic bias/inaccuracy and enhance data privacy. On the other hand, India's legal system remains disorganized and does not have an effective strategy to address the special threats and capabilities of AI. In addition to legal reform, the research illustrates a more effective explanation of how AI might misuse data and encourage biases, particularly in a large and diverse culture like India. Thus, the research emphasizes the need for immediate and focused reforms to establish a strong framework for regulation that takes AI's complexities into account. This involves implementing strict data protection regulations and required transparency guidelines for AI systems to guarantee that AI technologies are developed and implemented responsibly, preserving digital rights and trust among individuals. |
Keywords | Artificial Intelligence (AI), Cyber Law, Algorithmic Bias, Automated Decision-Making, Data Privacy, Legal Gaps, Comparative Analysis, and Regulatory Reform. |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-11-24 |
Cite This | Legal Challenges of Artificial Intelligence in India’s Cyber Law Framework: Examining Data Privacy and Algorithmic Accountability Via a Comparative Global Perspective - Siva Vignesh S.K.V, Nagarjun D.N - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.31347 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.31347 |
Short DOI | https://doi.org/g8r8js |
Share this
E-ISSN 2582-2160
doi
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.