Open Access
Open access
volume 11 issue 1 publication number 34

A study on ethical implications of artificial intelligence adoption in business: challenges and best practices

Publication typeJournal Article
Publication date2025-03-13
wos Q3
SJR
CiteScore
Impact factor2.7
ISSN23147210, 23147202
Abstract

Widespread adaptation and implementation of artificial intelligence (AI) across the businesses make ethical implications increasingly important. This study explores the ethical challenges and best practices surrounding the adoption of AI in various business contexts. The study finds that following ethical concerns are the hinderance in the adaptation of AI in business (Privacy and data protection, bias and fairness, transparency and explainability, job displacement and workforce changes, algorithmic influence, and manipulation, accountability, and liability, and ethical decision making). It also shows that these challenges vary across gender, age group, country, profession area, and age of the organizations. Lastly, the study provides insights on how businesses can navigate these challenges while upholding ethical standards. The study finding is highly useful for the business leaders, policymakers, and researchers in ensuring responsible and ethical AI deployment in the business ecosystem.

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Maiti M. et al. A study on ethical implications of artificial intelligence adoption in business: challenges and best practices // Future Business Journal. 2025. Vol. 11. No. 1. 34
GOST all authors (up to 50) Copy
Maiti M., Kayal P., Vujko A. A study on ethical implications of artificial intelligence adoption in business: challenges and best practices // Future Business Journal. 2025. Vol. 11. No. 1. 34
RIS |
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TY - JOUR
DO - 10.1186/s43093-025-00462-5
UR - https://fbj.springeropen.com/articles/10.1186/s43093-025-00462-5
TI - A study on ethical implications of artificial intelligence adoption in business: challenges and best practices
T2 - Future Business Journal
AU - Maiti, Moinak
AU - Kayal, Parthajit
AU - Vujko, Aleksandra
PY - 2025
DA - 2025/03/13
PB - Springer Nature
IS - 1
VL - 11
SN - 2314-7210
SN - 2314-7202
ER -
BibTex
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BibTex (up to 50 authors) Copy
@article{2025_Maiti,
author = {Moinak Maiti and Parthajit Kayal and Aleksandra Vujko},
title = {A study on ethical implications of artificial intelligence adoption in business: challenges and best practices},
journal = {Future Business Journal},
year = {2025},
volume = {11},
publisher = {Springer Nature},
month = {mar},
url = {https://fbj.springeropen.com/articles/10.1186/s43093-025-00462-5},
number = {1},
pages = {34},
doi = {10.1186/s43093-025-00462-5}
}