让社交机器人在压力下仍可靠运行，提升老年人信任感。
Enhancing Social Robots through Resilient AI
- 通过增强韧性使机器人在异常条件下维持核心功能
- 在退化或受损状态下仍能保持关键操作能力
- 特别适合应用于养老、医疗等高信任需求场景
随着人工智能在医疗、教育及日常生活等敏感领域不断深入应用，系统必须具备韧性和鲁棒性。本文指出，韧性是社交机器人的核心特征，能确保在老年用户中建立信任——这在老人对智能系统普遍缺乏信任的背景下尤为关键。韧性意味着即使在恶劣或压力环境下，系统出现退化或弱化时，仍可维持基本运作能力。
原文摘要 · Abstract (English)
As artificial intelligence continues to advance and becomes more integrated into sensitive areas like healthcare, education, and everyday life, it's crucial for these systems to be both resilient and robust. This paper shows how resilience is a fundamental characteristic of social robots, which, through it, ensure trust in the robot itself-an essential element especially when operating in contexts with elderly people, who often have low trust in these systems. Resilience is therefore the ability to operate under adverse or stressful conditions, even when degraded or weakened, while maintaining essential operational capabilities.
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