A Study on Two Conditions for the Realization of Artificial Empathy and Its Cognitive Foundation

Abstract

The realization of artificial empathy is conditional on the following: on the one hand, human emotions can be recognized by AI and, on the other hand, the emotions presented by artificial intelligence are consistent with human emotions. Faced with these two conditions, what we explored is how to identify emotions, and how to prove that AI has the ability to reflect on emotional consciousness in the process of cognitive processing, In order to explain the first question, this paper argues that emotion identification mainly includes the following three processes: emotional perception, emotional cognition and emotional reflection. It proposes that emotional display mainly includes the following three dimensions: basic emotions, secondary emotions and abstract emotions. On this basis, the paper proposes that the realization of artificial empathy needs to meet the following three cognitive processing capabilities: the integral processing ability of external emotions, the integral processing ability of proprioceptive emotions and the processing ability of integrating internal and external emotions. We are open to whether the second difficulty can be addressed. In order to gain the reflective ability of emotional consciousness for AI, the paper proposes that artificial intelligence should include consistency on identification of external emotions and emotional expression, processing of ontological emotions and external emotions, integration of internal and external emotions and generation of proprioceptive emotions.

Identification and Description of Emotions by Current Large Language Models

“…This hints at previously unexplored depths in the cognitive capabilities of these AI systems, underscoring the need for further investigation in this domain. Recent research has increasingly focused on imbuing AI with both artificial empathy [17] and artificial emotional intelligence [16].…”

“…This strategy expands the boundaries of cognitive and emotional processing capabilities within AI systems (Wang et al, 2022;Wu, 2019). While artificial emotional intelligence (Wortman & Wang, 2022) refers to the capability of a machine to recognize and respond to emotions, similar to how humans do, artificial empathy (Cui & Liu, 2022) is specifically about enabling machines to understand and respond to human emotional states in a manner that exhibits empathy. Although both focus on machine understanding of human emotions, the key difference lies in their application; the former is about broad emotional responsiveness, while the latter concentrates on empathetic understanding and response.…”

Identification and Description of Emotions by Current Large Language Models

“…This strategy expands the boundaries of cognitive and emotional processing capabilities within AI systems (Wang et al, 2022;Wu, 2019). While arti cial emotional intelligence (Wortman & Wang, 2022) refers to the capability of a machine to recognize and respond to emotions, similar to how humans do, arti cial empathy (Cui & Liu, 2022) is speci cally about enabling machines to understand and respond to human emotional states in a manner that exhibits empathy. Although both focus on machine understanding of human emotions, the key difference lies in their application; the former is about broad emotional responsiveness, while the latter concentrates on empathetic understanding and response.…”