The mystery of Musify (an AI-based recommendation system): Safe and sound?

AI has become the mantra for business administration and management. Aspiring entrepreneurs and business professionals in business schools are educated on the magic that AI can create in corporate landscapes. AI-based courses have become an integral part of every department. Students in B-schools are relentlessly consuming information on the benefits of augmenting AI systems. However, there is a flip side to this training. A lack of awareness of the consequences of carelessly built AI algorithms could lead to the delusion that AI is beyond ethics and moral principles. This case study aims at teaching students the various aspects that should be considered before designing, creating, and implementing AI systems, especially in the context of recommendation engines.

Authors

Publication Details

Journal
Journal of Information Technology Teaching Cases
Published
2025-08-08
DOI
https://doi.org/10.1177/20438869251364891
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

The mystery of Musify (an AI-based recommendation system): Safe and sound?

Ameeta Fernando
Journal of Information Technology Teaching Cases
AI in Service Interactions
article

The mystery of Musify (an AI-based recommendation system): Safe and sound?

Ameeta Fernando
article en

Abstract

AI has become the mantra for business administration and management. Aspiring entrepreneurs and business professionals in business schools are educated on the magic that AI can create in corporate landscapes. AI-based courses have become an integral part of every department. Students in B-schools are relentlessly consuming information on the benefits of augmenting AI systems. However, there is a flip side to this training. A lack of awareness of the consequences of carelessly built AI algorithms could lead to the delusion that AI is beyond ethics and moral principles. This case study aims at teaching students the various aspects that should be considered before designing, creating, and implementing AI systems, especially in the context of recommendation engines.

Journal of Information Technology Teaching Cases
Openalex Percentile: Top 90%
AI in Service Interactions
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