Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation

• URL: http://arxiv.org/abs/2507.15901v1
• Date: Mon, 21 Jul 2025 06:10:02 GMT
• Title: Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation
• Authors: Joydeep Chandra, Satyam Kumar Navneet,
• Abstract summary: This article analyzes agentic AI and its applications, focusing on its move from reactive to proactive autonomy, privacy, fairness and user control.<n>Vulnerable user groups such as elderly individuals, children, and neurodivergent who face higher risks of surveillance, bias, and privacy risks were studied.<n>Design imperatives are highlighted such as tailored explainability, granular consent mechanisms, and robust override controls.
• Score: 1.6766200616088744
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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