UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 11 Issue 6
June-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2406250


Registration ID:
542410

Page Number

c388-c394

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Title

ARTIFICIAL INTELEIGENCE AND CARBON FOOT PRINT- HIDDEN TRUTH

Authors

Abstract

Even though the entire world is looking for artificial intelligence and its usage for more productivity, efficiency in ever growing competitive environment bot in service and manufacturing sectors. Most of corporate, consumers and bureaucrats are overwhelmed with the exceptional advantages of AI. But it is often overlooked relationship between artificial intelligence (AI) and carbon footprint, shedding light on both the potential environmental challenges posed by the widespread adoption of AI technologies. The absence of standardized methods for quantifying AI-related emissions has been a significant gap in understanding its environmental impact. While the pollution generated during the training of AI models is well-documented, the emissions stemming from AI usage have been overlooked until now. This paper provides insights into what AI can do to carbon footprint? And how it is going to add its share in increasing the carbon footprint and how stakeholders can navigate the complex landscape of AI while minimizing its environmental footprint.

Key Words

Artificial Intelligence, Environment, Carbon Footprint, AI Models, Impact

Cite This Article

"ARTIFICIAL INTELEIGENCE AND CARBON FOOT PRINT- HIDDEN TRUTH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.c388-c394, June-2024, Available :http://www.jetir.org/papers/JETIR2406250.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ARTIFICIAL INTELEIGENCE AND CARBON FOOT PRINT- HIDDEN TRUTH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppc388-c394, June-2024, Available at : http://www.jetir.org/papers/JETIR2406250.pdf

Publication Details

Published Paper ID: JETIR2406250
Registration ID: 542410
Published In: Volume 11 | Issue 6 | Year June-2024
DOI (Digital Object Identifier):
Page No: c388-c394
Country: Davangere, Karnataka, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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