The rapid deployment of multi-agent Artificial Intelligence(AI)systems has exposed the structural,epistemic,and normative limitations of dominant Western AI ethics frameworks.Predominantly anchored in liberal individu...The rapid deployment of multi-agent Artificial Intelligence(AI)systems has exposed the structural,epistemic,and normative limitations of dominant Western AI ethics frameworks.Predominantly anchored in liberal individualism,atomistic conceptions of moral agency,and the protection of isolated individual rights,these mainstream paradigms increasingly fail to govern the distributed,networked,and interactive nature of contemporary AI ecosystems.This article critically assesses the philosophical and operational constraints of these individual-centric models,arguing that they are fundamentally ill-equipped to address the systemic risks,emergent behaviors,and complex liability distributions inherent in multi-agent environments.In response,this study proposes a novel,comprehensive theoretical framework:Relational AI Governance(RAIG),grounded in classical Confucian relational ontology.By systematically translating core Confucian concepts—ren(humaneness/relational co-becoming),li(ritual propriety/normative role constraints),zhi(practical wisdom),and he(systemic harmony)—into the domain of algorithmic governance,the paper constructs a multi-agent governance model based on role-based ethics and networked responsibility.Engaging in a critical theoretical dialogue with the control-oriented existential paradigms of Nick Bostrom[2]and the informational ontology of Luciano Floridi[1],the article demonstrates how a relational approach shifts the governance focus.Rather than obsessing over the isolated algorithmic accountability or the unilateral alignment of superintelligence,RAIG prioritizes the continuous optimization of human-machine and machine-machine relational dynamics.The proposed model offers highly actionable implications for both AI system design(advocating for human-AI symbiosis over human-in-the-loop control)and global technology policy(advocating for collective data trusts and relational auditing).Ultimately,this paper charts a path beyond the reactive protection of individual rights,moving toward the proactive cultivation of sustainable,resilient,and harmonious socio-technical ecosystems in the algorithmic age.展开更多
Purpose: This study examines Chinese college students’ awareness of ethical issues surrounding the use of information resources and the Internet and their attitude to these issues. Design/methodology/approach: A surv...Purpose: This study examines Chinese college students’ awareness of ethical issues surrounding the use of information resources and the Internet and their attitude to these issues. Design/methodology/approach: A survey was conducted. Two hundred questionnaires were distributed to students of 9 universities at different levels in Tianjin, China; 171 were returned. Descriptive statistics were performed to analyze the data. Findings: The results indicate that Chinese college students usually ignored the negative influence of fake or pornographic or other indecent information, invasion of privacy and theft of confidential information, and violation of intellectual property rights. Although they could distinguish to some extent between ethical and unethical behavior, they were not concerned about others’ unethical behavior on the Web. The study also indicates that gender, age, academic major and expertise in using computers were related to the students’ awareness of ethical issues relating to the use of the Internet and their attitude to these issues.Research limitations: The sample is limited to the universities in Tianjin. A larger sample, which includes colleges and universities in the western or other developing areas in China, is needed to further validate our findings.Practical implications: The study helps educators and academic librarians better understand Chinese college students’ awareness of and attitude to ethical issues surrounding the use of the Internet. It thus could assist them in the improvement of information ethics education for college students.Originality/value: This study was one of the first empirical studies to investigate the factors influencing Chinese college students’ awareness of and attitude to Internet ethical issues.展开更多
基金supported by the overarching strategic research initiative on“Disruptive Technology Governance”facilitated by the Hong Kong Center of Social Sciences.
文摘The rapid deployment of multi-agent Artificial Intelligence(AI)systems has exposed the structural,epistemic,and normative limitations of dominant Western AI ethics frameworks.Predominantly anchored in liberal individualism,atomistic conceptions of moral agency,and the protection of isolated individual rights,these mainstream paradigms increasingly fail to govern the distributed,networked,and interactive nature of contemporary AI ecosystems.This article critically assesses the philosophical and operational constraints of these individual-centric models,arguing that they are fundamentally ill-equipped to address the systemic risks,emergent behaviors,and complex liability distributions inherent in multi-agent environments.In response,this study proposes a novel,comprehensive theoretical framework:Relational AI Governance(RAIG),grounded in classical Confucian relational ontology.By systematically translating core Confucian concepts—ren(humaneness/relational co-becoming),li(ritual propriety/normative role constraints),zhi(practical wisdom),and he(systemic harmony)—into the domain of algorithmic governance,the paper constructs a multi-agent governance model based on role-based ethics and networked responsibility.Engaging in a critical theoretical dialogue with the control-oriented existential paradigms of Nick Bostrom[2]and the informational ontology of Luciano Floridi[1],the article demonstrates how a relational approach shifts the governance focus.Rather than obsessing over the isolated algorithmic accountability or the unilateral alignment of superintelligence,RAIG prioritizes the continuous optimization of human-machine and machine-machine relational dynamics.The proposed model offers highly actionable implications for both AI system design(advocating for human-AI symbiosis over human-in-the-loop control)and global technology policy(advocating for collective data trusts and relational auditing).Ultimately,this paper charts a path beyond the reactive protection of individual rights,moving toward the proactive cultivation of sustainable,resilient,and harmonious socio-technical ecosystems in the algorithmic age.
基金jointly supported by Tianjin Philosophy and Social Sciences Planning Project(Grant No.:TJTQ10-665)Humanities and Social Sciences of the Chinese Ministry of Education(Grant No.:10YJC870019)
文摘Purpose: This study examines Chinese college students’ awareness of ethical issues surrounding the use of information resources and the Internet and their attitude to these issues. Design/methodology/approach: A survey was conducted. Two hundred questionnaires were distributed to students of 9 universities at different levels in Tianjin, China; 171 were returned. Descriptive statistics were performed to analyze the data. Findings: The results indicate that Chinese college students usually ignored the negative influence of fake or pornographic or other indecent information, invasion of privacy and theft of confidential information, and violation of intellectual property rights. Although they could distinguish to some extent between ethical and unethical behavior, they were not concerned about others’ unethical behavior on the Web. The study also indicates that gender, age, academic major and expertise in using computers were related to the students’ awareness of ethical issues relating to the use of the Internet and their attitude to these issues.Research limitations: The sample is limited to the universities in Tianjin. A larger sample, which includes colleges and universities in the western or other developing areas in China, is needed to further validate our findings.Practical implications: The study helps educators and academic librarians better understand Chinese college students’ awareness of and attitude to ethical issues surrounding the use of the Internet. It thus could assist them in the improvement of information ethics education for college students.Originality/value: This study was one of the first empirical studies to investigate the factors influencing Chinese college students’ awareness of and attitude to Internet ethical issues.
