Pain recognition and pain empathy from a human-centered AI perspective

• Published in: iScience 2024-08, Vol.27 (8), p.110570, Article 110570
• Main Authors: Cao, Siqi, Fu, Di, Yang, Xu, Wermter, Stefan, Liu, Xun, Wu, Haiyan
• Format: Article
• Language: English
• Subjects: Applied sciences; Cognitive neuroscience; Review; Social sciences
• ISSN: 2589-0042; 2589-0042
• DOI: 10.1016/j.isci.2024.110570

Sensory and emotional experiences are essential for mental and physical well-being, especially within the realm of psychiatry. This article highlights recent advances in cognitive neuroscience, emphasizing the significance of pain recognition and empathic artificial intelligence (AI) in healthcare. We provide an overview of the recent development process in computational pain recognition and cognitive neuroscience regarding the mechanisms of pain and empathy. Through a comprehensive discussion, the article delves into critical questions such as the methodologies for AI in recognizing pain from diverse sources of information, the necessity for AI to exhibit empathic responses, and the associated advantages and obstacles linked with the development of empathic AI. Moreover, insights into the prospects and challenges are emphasized in relation to fostering artificial empathy. By delineating potential pathways for future research, the article aims to contribute to developing effective assistants equipped with empathic capabilities, thereby introducing safe and meaningful interactions between humans and AI, particularly in the context of mental health and psychiatry. [Display omitted] Applied sciences; Cognitive neuroscience; Social sciences