研究家用智能代理的伦理框架，关注隐私与公平性问题。
Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation
- 从被动响应转向主动自治的智能家庭系统设计
- 识别老人、儿童等群体的高风险隐私与偏见问题
- 提出可解释性、细粒度同意和强干预控制等设计原则
人工智能在家庭环境中的应用，特别是以主动式自主代理的形式，既带来便利与关怀，也引发内部或外部的伦理挑战。本文分析了智能代理及其应用，聚焦其从被动响应向主动自治的演变，以及隐私、公平性与用户控制问题。通过回顾负责任创新框架、以人为本的设计原则与治理实践，提炼出构建伦理智能家庭系统的实用指导。重点研究了老年人、儿童及神经多样性人群在智能代理环境下面临的更高监控、偏见与隐私风险。强调个性化可解释性、细粒度同意机制与强干预控制等设计要求，并倡导参与式与包容性方法。同时探讨了利用自然语言处理（NLP）分析社交媒体数据，以获取用户需求与伦理关切的可行性。本综述旨在为开发透明、包容且可信的家用智能代理系统提供概念基础与实践建议。
原文摘要 · Abstract (English)
The implementation of Artificial Intelligence (AI) in household environments, especially in the form of proactive autonomous agents, brings about possibilities of comfort and attention as well as it comes with intra or extramural ethical challenges. This article analyzes agentic AI and its applications, focusing on its move from reactive to proactive autonomy, privacy, fairness and user control. We review responsible innovation frameworks, human-centered design principles, and governance practices to distill practical guidance for ethical smart home systems. Vulnerable user groups such as elderly individuals, children, and neurodivergent who face higher risks of surveillance, bias, and privacy risks were studied in detail in context of Agentic AI. Design imperatives are highlighted such as tailored explainability, granular consent mechanisms, and robust override controls, supported by participatory and inclusive methodologies. It was also explored how data-driven insights, including social media analysis via Natural Language Processing(NLP), can inform specific user needs and ethical concerns. This survey aims to provide both a conceptual foundation and suggestions for developing transparent, inclusive, and trustworthy agentic AI in household automation.
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