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The Dark Side Of AI: Autonomous Crimes By AI Robots And The Need For Legal Reform




Dr. Anuradha Girme, Dr. Ujwala S. Bendale, Utpal Gharde


ABSTRACT


In an era marked by rapid advances in AI and robotics, the lines between science fiction and reality are blurring. 4As we marvel at the capabilities of AI systems and autonomous robots, we also face an urgent and complex challenge: the ability of these machines to commit automated crimes. AI- related crimes can be attributed to programming errors, malicious intent, or even simply unintended consequences of their autonomous decision-making. In a world increasingly shaped by AI and robotics, the emergence of automated crimes committed by AI robots poses a major challenge to traditional legal frameworks. Our current legal system is largely designed to hold people accountable for their actions. However, it is not clear how our laws would apply to AI robots, which are not human and do not have the same moral culpability5. It becomes evident that the urgency for legal reforms to address these novel challenges is paramount. Specific reforms, such as new laws that would make manufacturers liable for the actions of their AI robots, and new laws that would create a new category of legal liability for AI robots themselves.


Keywords: AI crimes, Autonomous AI robots, Legal reforms for AI, Ethical dilemmas for AI Crimes, Criminal potential of AI robots, Regulatory challenges for AI, AI's impact on society, Protecting the future from AI, AI technology and its challenges.

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Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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​All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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