Ethical Principles of Integrating ChatGPT Into IoT–Based Software Wearables: A Fuzzy‐TOPSIS Ranking and Analysis Approach DOI Creative Commons
Maseeh Ullah Khan,

Muhammad Ullah,

Shahrukh Nawaz Khan

et al.

International Journal of Intelligent Systems, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

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

Language: Английский

Perceiving Urban Inequality from Imagery Using Visual Language Models with Chain-of-Thought Reasoning DOI
Yunke Zhang,

Ruolong Ma,

Xin Zhang

et al.

Published: April 22, 2025

Language: Английский

Citations

0
Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors DOI

Y. Zhang,

Yuan Yuan, Jingtao Ding

et al.

Published: April 22, 2025

Language: Английский

Citations

0
Ethical Principles of Integrating ChatGPT Into IoT–Based Software Wearables: A Fuzzy‐TOPSIS Ranking and Analysis Approach DOI Creative Commons
Maseeh Ullah Khan,

Muhammad Ullah,

Shahrukh Nawaz Khan

et al.

International Journal of Intelligent Systems, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

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

Language: Английский

Citations

0