Ethical Principles of Integrating ChatGPT Into IoT-Based Software Wearables: A Fuzzy-TOPSIS Ranking and Analysis Approach

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Maseeh Ullah Khan, Muhammad Farhat Ullah, Sabeeh Ullah Khan, Weiqiang Kong

Published: 2025, Last Modified: 06 Nov 2025Int. J. Intell. Syst. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: The rapid development of the internet of things (IoT) prompts organizations and developers to seek innovative approaches for future IoT device development and research. Leveraging advanced artificial intelligence (AI) models such as ChatGPT holds promise in reshaping the conceptualization, development, and commercialization of IoT devices. Through real-world data utilization, AI enhances the effectiveness, adaptability, and intelligence of IoT devices and wearables, expediting their production process from ideation to deployment and customer assistance. However, integrating ChatGPT into IoT–based devices and wearables poses ethical concerns including data ownership, security, privacy, accessibility, bias, accountability, cost, design, quality, storage, model training, explainability, consistency, fairness, safety, transparency, trust, and generalizability. Addressing these ethical principles necessitates a comprehensive review of the literature to identify and classify relevant principles. The author identified 14 ethical principles from the literature using a systematic literature review (SLR) with a criteria of frequency ≥ 50% based on similarities. Four categories emerge based on the identified ethical principles, culminating in the application of Fuzzy-TOPSIS for analyzing, categorizing, ranking, and prioritizing these ethical principles. From the Fuzzy-TOPSIS technique results, the principle of data security and privacy is the highly ranked ethical principle for IoT–based software wearable devices with the ranking value of “0.925” as a consistency coefficient index. This method, well-established in computer science, effectively navigates fuzzy and uncertain decision-making scenarios. The pioneer outcomes of this study provide a taxonomy-based valuable insight for software manufacturers, facilitating the analysis, ranking, categorization, and prioritization of ethical principles amid the integration of ChatGPT in IoT–based devices and wearables’ research and development.