Title: Plural Voices, Single Agent: Towards Inclusive AI in Multi-User Domestic Spaces Show Chinese title

Title: 多重声音，单一代理：面向多用户家庭空间的包容性人工智能

Abstract: Domestic AI agents faces ethical, autonomy, and inclusion challenges, particularly for overlooked groups like children, elderly, and Neurodivergent users. We present the Plural Voices Model (PVM), a novel single-agent framework that dynamically negotiates multi-user needs through real-time value alignment, leveraging diverse public datasets on mental health, eldercare, education, and moral reasoning. Using human+synthetic curriculum design with fairness-aware scenarios and ethical enhancements, PVM identifies core values, conflicts, and accessibility requirements to inform inclusive principles. Our privacy-focused prototype features adaptive safety scaffolds, tailored interactions (e.g., step-by-step guidance for Neurodivergent users, simple wording for children), and equitable conflict resolution. In preliminary evaluations, PVM outperforms multi-agent baselines in compliance (76% vs. 70%), fairness (90% vs. 85%), safety-violation rate (0% vs. 7%), and latency. Design innovations, including video guidance, autonomy sliders, family hubs, and adaptive safety dashboards, demonstrate new directions for ethical and inclusive domestic AI, for building user-centered agentic systems in plural domestic contexts. Our Codes and Model are been open sourced, available for reproduction: https://github.com/zade90/Agora Show Chinese abstract

Abstract: 国内人工智能代理面临伦理、自主性和包容性挑战，尤其是对被忽视的群体如儿童、老年人和神经多样性用户。 我们提出了多声部模型（PVM），这是一种新颖的单代理框架，通过实时价值对齐动态协商多用户需求，利用关于心理健康、老年护理、教育和道德推理的多样化公共数据集。 使用公平意识场景和伦理增强的人类+合成课程设计，PVM识别核心价值观、冲突和可访问性要求，以指导包容性原则。 我们的隐私导向原型具有自适应安全支架、定制化交互（例如，为神经多样性用户提供逐步指导，为儿童使用简单用语）和公平的冲突解决方法。 在初步评估中，PVM在合规性（76% vs. 70%）、公平性（90% vs. 85%）、安全违规率（0% vs. 7%）和延迟方面优于多代理基线。 设计创新，包括视频指导、自主滑块、家庭中心和自适应安全仪表板，展示了伦理和包容性家庭人工智能的新方向，以在多元家庭环境中构建以用户为中心的代理系统。 我们的代码和模型已开源，可供复现：https://github.com/zade90/Agora