Artificial Intelligence in Corporate Social Responsibility and Environment Sustainability

The advancements in technology in the modern era have led to the boom of Artificial Intelligence (AI) in the market including businesses and organizations seeking for increased accountability and recognition. This study investigates the possible advantages of Artificial Intelligence in Corporate Social Responsibility (CSR) and environmental sustainability moreover, the business and economic reforms of it on companies to become more and more sustainable over the years, and the possible strategies to implement it. The application of AI in CSR can lead to enhanced accuracy and real-time data monitoring. Yet, there are some shortcomings of AI such as data security risks and reliability concerns which demand addressing. By conducting this literature survey, we aim to prevail over the challenges across the way of AI in CSR and suggest the best possible mitigation strategies.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/csitss64042.2024.10816872
Citations
3
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.05
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article

Artificial Intelligence in Corporate Social Responsibility and Environment Sustainability

M Lokeshwari, Nishchint Tiku, Saksham Kumar Jindal
3 citations
Digital Transformation in Industry
1.05
article

Artificial Intelligence in Corporate Social Responsibility and Environment Sustainability

M Lokeshwari, Nishchint Tiku, Saksham Kumar Jindal
article en
3 citations

Abstract

The advancements in technology in the modern era have led to the boom of Artificial Intelligence (AI) in the market including businesses and organizations seeking for increased accountability and recognition. This study investigates the possible advantages of Artificial Intelligence in Corporate Social Responsibility (CSR) and environmental sustainability moreover, the business and economic reforms of it on companies to become more and more sustainable over the years, and the possible strategies to implement it. The application of AI in CSR can lead to enhanced accuracy and real-time data monitoring. Yet, there are some shortcomings of AI such as data security risks and reliability concerns which demand addressing. By conducting this literature survey, we aim to prevail over the challenges across the way of AI in CSR and suggest the best possible mitigation strategies.

Maharaj Vijayaram Gajapathi Raj College of Engineering (IN), R.V. College of Engineering
Openalex Percentile: Top 19%
Digital Transformation in Industry
1.05
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