JOURNAL OF DIALECTICS OF NATURE
A Comprehensive, Academic Journal of the Philosophy, History, Sociology and Cultural Studies of Science and Technology
Latest Issue
Vomule 47, Issue 1
January , 2025
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The Paradigm of Ethical Governance of Artificial Intelligence: From Value Alignment to Value Symbiosis Abstract: At present, domestic research on quantum cognition is relatively weak. Systematic review of international quantum cognition research is necessary to inspire domestic scholars. In this paper, 1,482 English quantum cognition literatures published from 2003 to 2022 are taken as samples. From the dimensions of scale, distribution and trend, the characteristics of international quantum cognition research in the number of publications, regional cooperation, topic distribution and hot topics evolution are described. On this basis, the future development trend of quantum cognition research is further analyzed and discussed. The number of quantum cognition research papers presents a continuous increasing trend; Psychology is one of the main fields of quantum cognition research. The hot topics in quantum cognition research include the potential of quantum theory to build cognitive models, the use of quantum mechanics to explore the working mechanism of consciousness in human brain, the use of quantum theory to explain the cognitive phenomenon of probabilistic misjudgment, etc. Key Words: Quantum cognition; Quantum mechanics; Cognitive science; Knowledge graphpage: 1-8The Ethical Washing in AI and Its Governance Abstract: The widespread existence of the ethical washing in AI has attracted the attention of the academy and the public. Conceptually, ethical washing as an action is characterized by two elements: hypocrisy in motivation and falsity in outcome. In terms of its causes, the formation of ethical washing is determined by a combination of motivational factors (the pursuit of interests of producers and the safety-rights needs of consumers and managers) and external factors (the effectiveness of AI ethics, the impact of AI on ethics, information gap and difficulties of governance). Ethical washing has caused negative ethical effects on both the practical and psychological levels. In this regard, its governance should be carried out from both internal (moral psychology) and external (realistic system). Key Words: AI ethics; Ethical washing; Ethical governancepage: 9-17Analysis on Measurement of Value Sensitivity with Artificial Intelligence Among Public Abstract: “Value sensitivity” originates from Batya Friedman’s concept of “Value-Sensitive Design”, referring to the ability to perceive ethically relevant values during the design, development, production, and use of technology. The research team innovatively applied the “tripartite methodology” and used the Multiple Indicators and Multiple Causes (MIMIC) structural equation model to measure public value sensitivity toward artificial intelligence (AI) and assess whether the current technologies support value-sensitive design goals. The study found that: (1) Public sensitivity to AI values is ranked as transparency, algorithmic fairness, job security, and responsibility attribution, indicating that these values should be prioritized in the design stage; (2) Information security and ecological imbalance received less attention; (3) Gender and profession showed no significant impact on value sensitivity, but age and education level did show significant differences. Key Words: Artificial intelligence; Value sensitivity; MIMIC; Ethical governancepage: 18-27The Philosophy of Science in CMU and Pearl’s Theory of Causality: The Influences of Philosophy of Science on Artificial Intelligence Abstract: The value of philosophy of science to science has always been controversial. This paper discussed the influences of philosophy of science on artificial intelligence by studying the contribution of the philosophy of science in CMU to Judy Pearl’s theory of causality, which is one of the most important theories in artificial intelligence. The philosophy of science in CMU proposed a research result that represents “intervention” as a change in the graph structure, which plays a very critical role in Pearl’s establishment of his theory of causality. Therefore, it can be seen that philosophy of science has an important impact on artificial intelligence. We also tried to analyze why the research results of philosophy of science in CMU contributed to Pearl’s construction of his theory, and why philosophy of science can influence artificial intelligence. Key Words: Judea Pearl; Theory of causality; Bayesian networks; Causal nodels; Interventionpage: 28-35JOURNAL OF DIALECTICS OF NATURE
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