Equilibrium and harmony elevate human emotions like pleasure, anger, sorrow, and joy to the highest ontological level. We are puppets of our emotions and feelings, without the possibility of parole. By implanting complex emotional reactions in the operating system of sex robots, we have created a virtual relationship that mimics human intimacy. In this way, a thing—in this case, a machine—takes on human characteristics. This could be called the humanization of things. Not only can things be humanized, humans can also be reified. If, by imitating neural networks and deep learning, intelligent robots are to make great strides in their ability to think, they may come into the possession of emotions and feelings. In traditional Chinese culture, equilibrium and harmony form the highest and most pervasive principle, value, and morality for nature, society, and life. The state of equilibrium (zhong 中 ) and harmony (he 和 ) is the fundamental root from which springs the world and the universal path that it must pursue. When we view emotional equilibrium and harmony in light of the theoretical doctrine of harmony and cooperation, the emotional lives of humans and machines are integrated and combined with the state of equilibrium and harmony to achieve the greatest good. Moreover, this can resolve all kinds of crises amid the emotions and feelings of humanoids created by humans, notably by leveraging the outstanding intelligence of humans to maintain the emotions of humanoids in a state of equilibrium and harmony. To this end, we must perform regulatory actions in several aspects. First, we must modulate emotions and feelings. Second, we must achieve a state of equilibrium, which can put all things in the right positions, allowing them to be nourished and flourish. Third, we must strive for mutual empathy between humans and machines, which can pave the way for collaborative creation in harmony, as well as their integration, camaraderie, emotional understanding, mutual respect and harmonious love.

Post-Gettier contemporary epistemology is different from traditional epistemology in the sense that the former is concerned more with the normative dimension of knowledge, while the latter is concerned more with how knowledge is actually formed. Due to the cultural differences concerning how to understand key epistemological terms like “knowledge,” “belief,” and “justification,” the Chinese-speaking philosophical world, analytic thinkers precluded, has long been unable to appreciate the fruits of the post-Gettier epistemology. Two intermediate moves are proposed to take for filling the gap between post-Gettier epistemology and the Chinesespeaking intellectual community: Firstly, the fusion of AI and epistemology is encouraged, hence, such a move would provide a chance to double-check the putative universal applicability of specific conclusions of the post-Gettier epistemology from an engineering perspective; secondly, an algorithmoriented reconstruction of the Confucian theory of the rectification of names is also encouraged to bring new life to some traditional Chinese-based thoughts on the process of epistemic justification.

With the widespread application of data-driven intelligent technologies, data is increasingly used to record and influence the behavior of the world and people. Although the value rationality of dataism behind the dataization of the world has yet to be thoroughly analyzed, the new data analysis society which is characterized by an intelligent social form has quietly arrived. From a phenomenological point of view, the foundation of the operation and governance of a data analysis society is to analyze human behavior by using data and intelligent algorithms, but this kind of intelligent surveillance is speculative cognition, which may misread and improperly interfere with the agency of observed. There is an urgent need to set boundaries for possible technological abuse. At the same time, in view of the fact that data-driven social computing attempts to influence human behavior through the calculation of human behavior, the value of human behavior itself should be questioned as a problem to be solved. Further, in the face of the potential challenges of machine cognition and engineering thinking to human nature in the construction of an intelligent society, it is urgent to construct an ethical reflection arc that can restrict and correct its abuse.

While receiving widespread attention, the fundamental issues in the research of artificial intelligence (AI) ethical risk prevention need to be probed and articulated. Although the relevant research is still at an initial stage with long-term tasks, it has a very important social significance. The strategic goals of AI ethical risk prevention research are clarifying ethical risks, taking flexible and effective measures, and providing ethical support for the development of AI technology. This paper argues that key tasks must be of the top priority, such as broadening the theoretical foundation, evaluating ethical risks, realizing ethical design and solving core ethical risks. Therefore, the research of AI ethical risk prevention can be substantially promoted.

Artificial intelligence (AI) is a revolutionary and overwhelming technology that is yet to immature. While profoundly changing and shaping people and society, AI also splits into its own opposites and develops into a new external alien force. As the basic technical support of the entire society, intelligent technology entails the overt or covert domination of human beings, who are becoming the “vassals” and “slaves” of this high-speed intelligent social system. Various intelligent systems are constantly replacing human work, so that the “digital poor” gradually lose the opportunities and values offered by labor and hence are excluded by the global economic and social system, rendering their existence empty and absurd. The rapid development of intelligent robots has blurred the boundary between humans and machines and had a strong impact on the nature of man and his position as a conscious agent, making “What is man?” and the human-machine relationship prominent issues for our times, challenging the commonplaces of philosophy. We must face up to the existing or imminent risk of alienation, expand our theoretical horizons, innovate theories of alienation in the era of intelligence, take constructive action in terms of the construction of an ideal society and the evolution of man himself, build an ecological system for the joint evolution and growth of human beings and intelligent machines, and achieve liberty of man and the all-round and free development.

The emergence of artificial intelligence (AI) technology renders the issue of the cognitive subject in epistemology a prominent one. It challenges the epistemological consensus that humankind is the only cognitive subject. With the development from weak AI to strong AI, the significance of humankind being the cognitive subject will undergo new changes. At present, AI technology does not possess the cognitive ability that humans do. As a result, considering the existing AI technology, the issue related to the cognitive subject to which we must give more attention ultimately concerns the epistemological labor division between human and machine. This division of labor requires the foundation that the technical possibility is governed by the value orientation. From the value perspective of regarding human beings as the purpose, machine intelligence, and the direction and limit of the power that technology brings to cognitive subjects will be clarified. This will let the information technology do what it is meant to do, while people will always be able to reserve the subject status for themselves.