Sensory and emotional experiences such as pain and empathy are essential for mental and physical health. Cognitive neuroscience has been working on revealing mechanisms underlying pain and empathy. Furthermore, as trending research areas, computational pain recognition and empathic artificial intelligence (AI) show progress and promise for healthcare or human-computer interaction. Although AI research has recently made it increasingly possible to create artificial systems with affective processing, most cognitive neuroscience and AI research do not jointly address the issues of empathy in AI and cognitive neuroscience. The main aim of this paper is to introduce key advances, cognitive challenges and technical barriers in computational pain recognition and the implementation of artificial empathy. Our discussion covers the following topics: How can AI recognize pain from unimodal and multimodal information? Is it crucial for AI to be empathic? What are the benefits and challenges of empathic AI? Despite some consensus on the importance of AI, including empathic recognition and responses, we also highlight future challenges for artificial empathy and possible paths from interdisciplinary perspectives. Furthermore, we discuss challenges for responsible evaluation of cognitive methods and computational techniques and show approaches to future work to contribute to affective assistants capable of empathy.
翻译:感官和情感体验,如疼痛和同情,对于身心健康至关重要。认知性神经科学一直在致力于揭示作为痛苦和同情的基础的机制。此外,作为趋势研究领域,计算疼痛认识和体格人工智能(AI)显示保健或人体计算机互动的进展和前景。尽管大赦国际的研究最近使创造具有情感处理的人工系统日益成为可能,但大多数认知性神经科学和AI研究并未共同解决人工和认知性神经科学中的共鸣问题。本文件的主要目的是介绍计算痛苦认识和实施人工共鸣方面的主要进展、认知挑战和技术障碍。我们的讨论涉及以下议题:AI如何认识单式和多式信息带来的痛苦?大赦国际是否关键在于是否具有共鸣性? 人工共鸣性AI有哪些好处和挑战?尽管对人工共鸣的重要性,包括感官认识和反应,但我们也强调了人工共鸣以及从跨学科角度可能走的道路方面的未来挑战。此外,我们讨论了负责任地评估认知方法和计算技术方面的挑战,并展示未来工作如何帮助具有情感分析能力的助手。