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Corporate Governance In The Age Of AI - Use Of AI For Effective Compliance

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Sidhida Varma S, Hindustan University


ABSTRACT


The modern world is run through the data. The challenging part is the management of these data which will lead to data silos. The corporate world has enormous dealings and these dealings include data streamlining, contract management, legal compliance requirements, and transactions. The most essential requirement is to manage all this by having the concept of sustainable development goals embedded in the mind. It has become an essential requirement for companies to follow the principles of corporate governance while keeping the concept of ‘people, planet, and profits’ in mind.


Before the advent of AI, one could observe that all the processes were done manually. With the manual procedures, it was very difficult for one to find out the lapses and shortcomings. The processes were time-consuming and the requirement of adequate manpower was a high priority. Furthermore, the traditional manual processes lack expert knowledge, accuracy, and skill.


With AI or technology-driven tools, large corporations were able to tackle the complexities faced due to the application of traditional methodologies. These tools help in achieving compliance, boost productivity, and efficiency, and also aid in the mitigation of risks.


This article deals with the current issues faced by corporations in corporate governance and elaborates on the utility of AI in corporate governance.

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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Licensing: 

 

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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