AI Ethics in Smart Homes: Progress, User Requirements and Challenges
Liqian You, Jianlong Zhou, Zhiwei Li, Fang Chen

TL;DR
This paper reviews the ethical challenges and user requirements associated with AI technologies in smart homes, providing guidelines for ethical design to address privacy, fairness, transparency, and autonomy concerns.
Contribution
It offers a comprehensive analysis of AI ethics in smart homes, integrating a review of historical trends and proposing ethical guidelines for future development.
Findings
Identified key ethical issues in AI-driven smart home technologies.
Compared traditional and AI-specific ethical concerns.
Provided design guidelines for ethical AI implementation.
Abstract
With the rise of Internet of Things (IoT) technologies in smart homes and the integration of artificial intelligence (AI), ethical concerns have become increasingly significant. This paper explores the ethical implications of AI-driven detection technologies in smart homes using the User Requirements Notation (URN) framework. In this paper, we thoroughly conduct thousands of related works from 1985 to 2024 to identify key trends in AI ethics, algorithm methods, and technological advancements. The study presents an overview of smart home and AI ethics, comparing traditional and AI-specific ethical issues, and provides guidelines for ethical design across areas like privacy, fairness, transparency, accountability, and user autonomy, offering insights for developers and researchers in smart homes.
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