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Navigating The Ethical Landscape Of AI: Regulations, Privacy, And Industry-Specific Challenges




Mahi Singh, Chanakya National Law University, Patna

Shrey Bhatnagar, Chanakya National Law University, Patna


“I think nobody is doing enough. Again, I would say that the main responsibilities are of the governments, not of the companies.” - Professor Yuval Noah


INTRODUCTION


AI refers to the ability created by humans to apply skills. It is the science of building intelligent machines and computer programs that can learn from past experiences and make decisions.1 AI technology is rapidly growing and is present in many aspects of our lives, including ChatGPT, Siri, and self-driving cars.


While AI is helping industries, it also poses a threat by breaching privacy through advances in biometric mass surveillance-like technologies since it involves the accumulation and analysis of data2. It can reinforce prevailing biases and discrimination in social order. For example, Technology concerning Facial recognition has shown to be unreliable in identifying people with darker skin tones.


In today's world, numerous applications were once only imaginable. AI can understand natural language, predict outcomes based on past experiences, and provide the best possible solutions.4 It can also make businesses more efficient by undertaking complex and stressful tasks.

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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.

 

Disclaimer:

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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