TITLE:
Does Artificial Intelligence Have Subjectivity?—An Exploration of the Focus of Disagreement on the Cognition of Human-AI Relationship
AUTHORS:
Xiaotun Chen, Shutong Zhang
KEYWORDS:
The Cognition of Human-AI Relationship, Self-Consciousness, Subjectivity and Objectivity, The Perception of Practical Truth, Human-AI Collaboration Value Creation, The “Authenticity” of AIGC
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.12 No.10,
October
24,
2024
ABSTRACT: With the improvement of the autonomy level of intelligent technology and the increasingly close interaction between humans and artificial intelligence (AI), AI has been embedded in human production and life with unprecedented depth and breadth. Related research on human-AI relationship has been springing up. However, the research question of “what is human-AI relationship” has always been controversial in the academia, resulting in the inability of subsequent studies to provide scientific methodological guidance for human-AI collaboration and human-AI symbiosis based on a clear cognition of human-AI relationship. This study focuses on the root causes of the divergence in the cognition of human-AI relationship. Firstly, from the perspective of epistemology, we sort out and compare the multiple judgments of existing studies on the self-consciousness of AI, and objectively analyze the development level of AI at this stage. By discriminating the “authenticity” of AIGC, the essential attributes of AI are clarified and the human-machine relationship is clarified. Secondly, based on the multidisciplinary perspective and the Perception of Practical Truth, the human-AI relationship is clarified as the dialectical unity of subjective human-AI relationship cognition and objective human-AI relationship reality. According to the AIGC cognitive differentiation caused by individual human capital differences, it is argued that there are differences between subjective human-AI relationship cognition and objective human-AI relationship reality, as well as subjective cognition of human-machine relationship by different subjects. By analyzing the “authenticity” of AIGC, the essential attributes of AI are clarified and the human-computer relationship is clarified. Finally, a three-dimensional conceptual model of human-AI collaboration value creation in the primary stage of the intelligent era is proposed to characterize the integrated role of artificial intelligence capability, human intelligence capability and human-AI relationship cognition on value creation. This paper clarifies the focus and root causes of the divergence of human-AI relationship cognition, and clears the fog for the in-depth study of human-computer relationship. It promotes cognition to better guide practice and science to better serve people.