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Research Paper Volume 6 Issue 6 201 - 213 November 21, 2024

Unveiling Insights on Legal Approaches to AI Liability: From Code to Courtroom

Lead author · Corresponding
Janani M.
Student at SASTRA Deemed University, India
Co-author
Lakshmi Praba K.
Student at SASTRA Deemed University, India
Abstract

Today, Artificial Intelligence (AI) is progressively being used in many unlawful activities. AI has become more active on the dark web, dealing drugs and committing cyber crimes. The use of AI in the criminal justice system offers enhanced efficiency, precision, and objectivity in decision-making processes. As AI evolves and becomes more integrated into the criminal justice system, it is critical for lawmakers, legal experts, and technologists to collaborate. There are currently no particular codified laws, statutory norms, or regulations in India that directly regulate artificial intelligence. The consequences of AI-related crimes go beyond financial losses and privacy violations, undermining societal trust in AI technologies and potentially hindering their beneficial applications. Addressing these difficulties demands a comprehensive approach that balances technological progress with strong legal and ethical frameworks to enable responsible AI usage and protect society from future risks. This research paper looks into the current status of AI applications in criminal justice, focusing on their potential benefits, problems, and ethical implications. Furthermore, the analysis attempts to define Artificial Intelligence for legal purposes, and it incorporates vicarious liability, product liability, and strict liability for AI systems by balancing the responsibilities of producers and users to determine who should be held liable when a crime is committed by Artificial Intelligence.

Type
Research Paper
Information
International Journal of Legal Science and Innovation, Volume 6, Issue 6, Page 201 - 213
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLSI 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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