The BMW Model of Perceived Sacrifices of Artificial Intelligence (AI): An Interpretive Study

Authors

  • Shiza Farooq Lecturer, Department of Business Administration, Iqra University, Islamabad, Pakistan

Keywords:

Artificial Intelligence, Percieved Sacrifice, Customer Experience, ChatGPT, Deepfake, AI

Abstract

The development of full artificial intelligence could spell the end of the human race. It would take off on its own, and re-design itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded. Course of human intellect is filled with such questions regarding the dangers and disasters of Artificial intelligence. The debate of how these questions, of the risks and sacrifices pertaining Artificial Intelligence and its use, are modified based on different contexts, remain an unsolved agenda for existing body of research. Lack of investigation about the adverse side of artificially intelligent platforms, is prominent gap residing between practice and literature. Therefore, the study aims to comprehend the impression of perceived sacrifices about the artificially intelligent platforms by making an attempt to categorize the sacrifices perceived regarding the usage of Artificial intelligence (AI) in the Pakistani context. Such information is gathered through a series of interviews from AI platform end users (specially Google, Facebook, Instagram, Tiktok, Snapchat, Deepfake and Chat gpt). The findings were analyzed by transcribing the data from above mentioned sources and applying the thematic analysis to reach final outcome. A BMW model has been categorized as a final outcome of this interpretive study and laid as ground to be used for future research aspirations regarding the adverse side of Artificial intelligence.

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Published

2023-12-31

How to Cite

Shiza Farooq. (2023). The BMW Model of Perceived Sacrifices of Artificial Intelligence (AI): An Interpretive Study. Al-Kashaf, 3(3), 16–25. Retrieved from https://alkashaf.pk/index.php/Journal/article/view/78

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English