ARCHIVES
VOL. 10, ISSUE 2 (2024)
Artificial intelligence: Challenges in criminal and civil liability
Authors
Jyoti Dharm, Anuradha Girme, Utpal Gharde
Abstract
As AI continue to become an important part of our daily lives, not only
does it bring undeniable advantages but also raises pressing questions: who
should be held accountable when AI malfunctions and causes harm? This piece
explores the crucial issue, revealing the shortcomings of current legal structures
in attributing criminal or civil responsibility for AI-related incidents. The
analysis unpacks the hurdles presented by opaque AI systems, the lack of
malicious intent, and the dispersed accountability among developers, users, and
other involved parties. It emphasizes the immediate need for reform and
suggests a way forward by advocating for Explainable AI (XAI) advancements,
robust strategies to mitigate algorithmic bias, and the establishment of clear
legal frameworks governing AI liability. This timely examination throws light
on a pivotal moment in AI's evolution, urging policymakers, researchers, and
industry leaders to envision a future where AI thrives alongside ethical
standards and safeguards for those affected.
Download
Pages:52-57
How to cite this article:
Jyoti Dharm, Anuradha Girme, Utpal Gharde "Artificial intelligence: Challenges in criminal and civil liability". International Journal of Law, Vol 10, Issue 2, 2024, Pages 52-57
Download Author Certificate
Please enter the email address corresponding to this article submission to download your certificate.

