Digital intelligence technology has provided conditions for the development of new quality productive forces and brought changes in the innovation ecosystem. In order to explore the characteristics of multi-agent participation in the construction of innovation ecosystem in the age of digital intelligence to promote the development of new quality productive forces, starting with new tools of new quality productive forces and taking innovation community as the analysis unit, the differences of network location and characteristics in the evolution of innovation community of universities, research institutes, production enterprises and institutional users in the two-tiered innovation ecosystem of science and technology in the field of industrial robots are systematically explored, through social network analysis and machine learning methods. The results show that, as an important means of labor reflecting the new quality productive forces, the industrial robot has gone through digital, networked and intelligent periods, and connection characteristics of the innovation community have gone through the single-agent, the external and internal connection, and the multi-agent linkage stages. The types of participants in the innovation community have gradually diversified. The conclusions provide reference for the construction of digital intelligence innovation ecosystem and the development of new quality productive forces.

Enterprise platform transformation is of great significance to enhance competitiveness and strengthen supply chain resilience, and is also an important impetus to promote the development of new quality productive forces of enterprises. Based on the data of China’s listed companies from 2013 to 2022, the spillover effect and micro-mechanism of the platform transformation of customer enterprises on new quality productive forces of supplier enterprises are empirically examined. The results show that the platform transformation of customer enterprises has a positive impact on new quality productive forces of supplier enterprises, and especially the positive impact will be greater when the customer enterprise is the leading enterprise or the supplier enterprise and the customer enterprise are in the same field or in the same area. The mechanism test results show that the platform transformation of customer enterprises promotes the development of new quality productive forces of supplier enterprises mainly by reducing the stability of supplier-customer relationship and improving the level of digital transformation of supplier enterprises. The research provides empirical evidence for enterprises to develop new quality productive forces by relying on the platform.

The concept of “digital human rights” is of great significance to the protection of rights in the digital era. The jurisprudential foundation of digital human rights starts from its background, legitimacy and normative basis. In the digital era, the existence form, life style and production mode of human beings have “digital attributes”, which in turn expand the social attributes of human beings. The legitimacy of digital human rights lies in the fact that the proposal of digital human rights is in line with the trend of the times, which is conducive to the integration of the theories of human rights protection in the digital field, and draws a “red line of human rights” for the development of technology. The United Nations, the European Union, the United States and China all have sufficient normative foundations for digital human rights in their legislative documents. The argumentation of the conceptual construction of digital human rights is based on nature, status, connotation and denotation of digital human rights. Digital human rights are the basic rights that human beings should enjoy as human beings in digital life and digital space, and they are the fourth generation of human rights with independent status. The specific types of digital human rights mainly include the rights of network access and utilization, the rights of digital equality, the rights of digital freedom of expression and the rights of data property. Based on the exploration of the jurisprudential foundation and conceptual construction of digital human rights, the question of “what digital human rights are” is systematically answered, and ideas for the protection of human rights in today’s digital era are provided.

In the new era of integration of technological revolution and legal practice, generative artificial intelligence (AI) applications with advanced technologies have changed the traditional legal services of lawyers and increased citizens’ access to legal services. Along with this, new technologies have driven the emergence of inherent requirements for the improvement and strengthening of lawyers’ professional ethics, such as giving full play to the subjectivity role of “legal people”, improvement of professional skills, instrumental confidentiality obligations, and supervision and management obligations. It is necessary to embed the rational application of artificial intelligence technology and its ethical standards into the professional ethics norms of lawyers to ensure the synchronization of norms and technological development and realize the modernization of lawyers’ legal services.

The semi-automated activities on the Internet, primarily carried out by social robots which use computational propaganda as their manipulation strategy are reviewed, and how the improper combination of human intelligence and artificial intelligence could lead to information alienation such as opinion manipulation, deterioration of the online ecosystem, group antagonism, and data security risks is discussed. Based on the current use and far-reaching impact of online Astroturfing actions, a multi-tiered, systematic, dynamic, and collaborative governance paradigm is proposed from perspectives of system, technology, platform, and stakeholder, exploring new paths for collaborative governance and shared management of cyberspace.

The informed consent rule is an important principle for legal processing of personal information in the Personal Information Protection Law. Its essence is that the personal information processor obtains the transfer of rights to process personal information through a contract signed with the information subject. However, informed consent presents a formalized dilemma in the practical scenario of personal information processing. In other words, the information subject is actually not aware of the legal consequences of the transfer of rights. The essence of this dilemma is that the informed consent rule is inherently unrealizable. The academic circles have proposed many solutions to the formalized dilemma of informed consent. Most of these solutions tend to repair informed consent rather than abandon it, and this direction has some defects. Whether to repair or abandon the informed consent rule is not the best approach. The best approach is to introduce the risk regulation theory to control the risk of personal information processing to a threshold while retaining the informed consent rule. The focus of this approach is that the existence of the informed consent rule is conducive to “potential claimants of rights” to claim personal information-related rights through private law, and the rights cannot be completely denied. Based on the risk theory, personal information protection should focus on the governance approach of de-risking. Based on the removal of social risks in personal information and considering its public nature, public law can strengthen the informed consent rule by providing a bottom-line protection. First, public law should ensure that personal information processors do not harm the information subject’s personal dignity, which is an important legal interest in personal information protection. Second, public law should supervise personal information processors and regulate the risks of personal information use to ensure that the risks of personal information processing are not too high.

Based on the perspective of industrial collaborative governance, SMIC is taken as the research object to discuss the peer effect of corporate financial behavior and the spillover effect of corporate decisions in the portfolio constructed by institutional investors. The main conclusions include: (1) institutional investors can exert industrial collaborative governance effect on listed companies belonging to chip industrial chain in their investment portfolio through cross-ownership; (2) the R&D policies of the core company and peer companies in the portfolio show the characteristics of the peer effect; (3) the decisions of the core company have a spillover effect, leading to synchronous changes in the stock prices of the core company and peer companies. The conclusions emphasize industrial collaborative governance effect of institutional cross-ownership at the industrial level, which can provide reference for decision-making of listed companies, managers and regulators.

Human-robot collaboration has become a trend in human-robot interaction, and strengthening trust in cobots can help increase individuals’ willingness to accept human-cobot collaboration. A questionnaire was used to investigate the critical factors of human-cobot trust in human-robot collaboration. A total of 300 participants took part in the survey. The results showed that human trust in cobots was composed of four factors: social security and performance expectations, perceived support, perceived control, and perceived stability. All four factors were positively correlated with individuals’ trust in cobots. The final model including demographic variables, individual characteristics, and trust factors, was able to explain 68.7% of the variance in human-cobot trust in human-robot collaboration. The findings provide theoretical basis and practical insights for the design and optimization of cobots.

Xi Jinping’s Thought on Culture is a scientific guide for the construction of modern Chinese civilization and a theoretical crystallization of Xi Jinping’s socialist cultural concept. Xi Jinping’s socialist cultural concept adheres to dialectical materialism and historical materialism, focusing on elucidating the principles of socialist cultural construction in the new era. It is a scientific system that integrates cultural history, cultural leadership, cultural inheritance, cultural development, cultural governance, and cultural inclusiveness, enriching and developing Marxist cultural theories. It determines that in order to promote the construction of socialist culture in the new era and the modern Chinese civilization, we must grasp the requirements of strengthening and improving the leadership of the Party, giving full play to the people’s subjectivity, and adhering to the “two combinations” of the times. It is of great significance to guide the whole Party and the people of all ethnic groups in China to establish a high level of historical confidence and cultural confidence, promote steady and sustainable development of a Chinese path to modernization and create a new form of human advancement.

As an important carrier of cultural belief inheritance, artifact plays a crucial role in material culture development. This paper focuses on the interpretation of values embedded in Chinese artifact design. Bringing morphemic symbol based Chinese characters to artifact analysis, values hidden in artifact making is uncovered. First, the semantic construction of Chinese characters is divided into three layers: the “corporeal layer”, the “behavioral layer” and the “conceptual layer”. Then, conceptual blending theory is used to analyze the relationship between Chinese characters and design psychological response and the semantic relation model of Chinese characters and artifact design is built, including three steps of sensorial composition, behavioral projection and intellectual elaboration. And two kinds of relationships between Chinese characters and artifact design are further explored: the denotative relationship and the connotative relationship. Finally, a clear developmental trend of artifact design is drawn upon: from the “pictographic representation” to the “ideographic representation”.

Communication network operation accidents such as network service interruption bring great losses to individual users, enterprises, and the whole society, and indirect losses are far greater than direct losses. However, current standards and regulations mainly focus on calculating direct losses, while they are not applicable for assessing the losses caused by communication network operation accidents. Through literature analysis, case studies, and questionnaire surveys, the diverse losses inflicted on telecom operators and customers by such accidents are analyzed. A loss calculation model based on GDP, industrial structure, and network dependency of related industries is proposed, and simulation calculations are also conducted. Scientific loss analysis and calculation help telecom operators fully understand the accident losses and support regulatory bodies in performing lawful supervision.