ARTIFICIAL INTELLIGENCE TECHNOLOGIES TO PREVENT ABUSE OF “CLIENT IS ALWAYS RIGHT” PRINCIPLE

This article explores the potential of Artificial Intelligence (AI) to mitigate the misuse of the “The client is always right” principle, often exploited for unfair advantages. While consumer rights are well-protected, businesses increasingly face consumer extremism, manifesting as abusive behaviors like unwarranted returns, fraudulent service claims. AI technologies, including machine learning and natural language processing, offer solutions by identifying patterns of abuse, analyzing sentiment and intent, and automating decision-making processes. This proactive approach allows businesses to detect and prevent consumer extremism, protecting both their financial interests and employee well-being. However, ethical considerations, particularly regarding bias in AI systems, must be addressed to ensure fair and transparent practices. This research utilizes a qualitative literature review and ethical and legal modeling to analyze the challenges and opportunities of implementing AI to counter consumer extremism, advocating for a balanced approach that protects both businesses and consumers.

Authors

Publication Details

Journal
The Bulletin of Academy of Law Enforcement Agencies
Published
2025-03-01
DOI
https://doi.org/10.52425/25187252_2025_35_100
Primary Topic
Digital Transformation in Law
Type
article
Field-Weighted Citation Impact
0.00
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article

ARTIFICIAL INTELLIGENCE TECHNOLOGIES TO PREVENT ABUSE OF “CLIENT IS ALWAYS RIGHT” PRINCIPLE

M.B. Sadykov, R.A. Amerkhanov
The Bulletin of Academy of Law Enforcement Agencies
Digital Transformation in Law
article

ARTIFICIAL INTELLIGENCE TECHNOLOGIES TO PREVENT ABUSE OF “CLIENT IS ALWAYS RIGHT” PRINCIPLE

M.B. Sadykov, R.A. Amerkhanov
article en

Abstract

This article explores the potential of Artificial Intelligence (AI) to mitigate the misuse of the “The client is always right” principle, often exploited for unfair advantages. While consumer rights are well-protected, businesses increasingly face consumer extremism, manifesting as abusive behaviors like unwarranted returns, fraudulent service claims. AI technologies, including machine learning and natural language processing, offer solutions by identifying patterns of abuse, analyzing sentiment and intent, and automating decision-making processes. This proactive approach allows businesses to detect and prevent consumer extremism, protecting both their financial interests and employee well-being. However, ethical considerations, particularly regarding bias in AI systems, must be addressed to ensure fair and transparent practices. This research utilizes a qualitative literature review and ethical and legal modeling to analyze the challenges and opportunities of implementing AI to counter consumer extremism, advocating for a balanced approach that protects both businesses and consumers.

The Bulletin of Academy of Law Enforcement AgenciesVol. 35(1)
Openalex Percentile: Top 80%
Digital Transformation in Law
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