Source: Jinwen&

Abstract: With the rapid development of artificial intelligence, the traditional "value alignment" paradigm faces many challenges in dealing with complex ethical problems. This article will provide a detailed interpretation of the paper written by Xia Yonghong of Beijing Normal University and explore the new paradigm of "value symbiosis". By analyzing the design principles of embodied-generating AI, we aim to provide readers with a comprehensive and in-depth understanding.

Paper information: Xia Yonghong. Paradigm of ethical governance of artificial intelligence: from value alignment to value symbiosis [J]. Nature Dialectical Communication, 2025, 47(01):1-8. DOI:10.15994/j.1000-0763.2025.01.001.

introduction

With the rapid development of artificial intelligence (AI) technology, its widespread application in various fields has not only brought huge convenience and benefits, but also caused a series of profound ethical issues. These issues cover many aspects, from privacy protection, data security, algorithmic discrimination, autonomy and responsibility ownership, and have received widespread attention from all walks of life. How to effectively govern artificial intelligence has become the focus of common attention of academic, industry and policy makers.

Overall, the current research on artificial intelligence governance mainly focuses on two directions: ethical governance and legal governance. Legal governance regulates the development and application of artificial intelligence by formulating relevant laws and regulations, which is highly mandatory and normative. However, ethical governance emphasizes more on influencing the development direction of artificial intelligence through value guidance and moral constraints, and has stronger flexibility and agility. Against the backdrop of rapid iteration and innovation of artificial intelligence, ethical governance can deal with emerging ethical problems more timely, and therefore will be an important part of artificial intelligence governance for a long time in the future.

Xia Yonghong's paper proposed the ethical governance paradigm of "value symbiosis" in this context, trying to transcend the traditional value alignment paradigm. This study has important theoretical and practical significance. From a theoretical perspective, this study deeply analyzes the limitations of the value alignment paradigm and proposes the value symbiosis paradigm as an alternative, enriching the theoretical system of artificial intelligence ethical governance. From a realistic perspective, the value symbiosis paradigm provides new ideas and methods for the ethical governance of artificial intelligence, which will help better respond to ethical challenges and achieve harmonious coexistence between man and machine in the process of rapid development of artificial intelligence technology.

The novelty of the paper

Propose a paradigm of value symbiosis

The paper proposes the ethical governance paradigm of "value symbiosis", which is innovative in the field of artificial intelligence ethical governance. Unlike the traditional value alignment paradigm, the value symbiosis paradigm emphasizes the harmonious coexistence of machine values ​​and human values ​​rather than one-way alignment. This symbiotic relationship not only focuses on mutual benefits in survival interests, but also emphasizes mutual recognition of values, providing a new perspective for the ethical governance of artificial intelligence.

Introducing Embodied-Generate AI Technology Solution

In order to solve the common sense problem faced by the value alignment paradigm, the paper introduces a technical solution for embodied-generating AI. This solution emphasizes that intelligence emerges from the interaction between the body and the environment. By simulating the continuous interaction between the body and the environment on different time scales, intelligence emerges from the bottom up. This technical solution not only helps overcome common sense problems, but also provides technical support for realizing the value symbiosis paradigm.

In-depth analysis of the limitations of the value alignment paradigm

The paper conducts an in-depth analysis of the limitations of the value alignment paradigm and points out its many technical and ethical challenges. For example, the value alignment paradigm is difficult to accurately capture and encode complex human values, and may strengthen current dominant values ​​and marginalize other non-mainstream values. These analyses laid a solid foundation for proposing the paradigm of value symbiosis.

Research methods of papers

literature review

Through a systematic review of relevant literature, the paper summarizes existing research results in the field of artificial intelligence ethical governance, especially related research on the value alignment paradigm. This provides a theoretical basis for subsequent analysis and criticism.

Concept Analysis

The paper conducts in-depth analysis of key concepts, such as value alignment, value symbiosis, embodied-generating AI, etc. Through a clear definition of these concepts, the paper provides a clear theoretical framework for subsequent arguments.

Case Study

The paper vividly demonstrates the challenges and limitations of the value alignment paradigm by citing multiple classic cases, such as the apprenticeship problem of the magician, the King of Midas problem, the paper clip maximization problem, etc. These case analysis helps readers better understand the core perspectives of the paper.

Theoretical deduction

In the process of proposing the value symbiosis paradigm, the paper uses the method of theoretical derivation. Through the criticism of the value alignment paradigm and the analysis of embodied-generating AI technology solutions, the paper gradually deduces the theoretical framework and core principles of the value symbiosis paradigm.

The research process of the paper

Analyzing the value alignment paradigm

The paper first conducts a detailed analysis of the value alignment paradigm and points out its technical and ethical limitations. Technically, the value alignment paradigm faces the challenge of common sense issues and is difficult to accurately capture and encode complex human values. Ethically, the value alignment paradigm may strengthen current dominant values ​​and marginalize other non-mainstream values.

Introducing Embodied-Generate AI Technology Solution

In order to solve the common sense problem faced by the value alignment paradigm, the paper introduces an embodied-generating AI technology solution. This solution overcomes common sense problems by simulating the interaction between the body and the environment, allowing intelligence to emerge from the bottom up. The paper details the core beliefs and technical implementation methods of embodied-generating AI, such as simulating the interaction between the body and the environment on different time scales.

Propose a paradigm of value symbiosis

Based on analyzing the value alignment paradigm and introducing embodied-generating AI technology solutions, the paper proposes a value symbiosis paradigm. This paradigm emphasizes the harmonious coexistence of machine values ​​and human values, and includes two core principles: the principle of mutual benefit and the principle of mutual recognition. The principle of mutual benefit emphasizes the mutual benefit of machines and humans in the interests of survival, and the principle of mutual recognition emphasizes the mutual recognition of machines and humans in the values.

Discuss the implementation method of the value symbiosis paradigm

The paper further explores the implementation method of the value symbiosis paradigm and proposes AI design criteria such as niche parallelism and skill complementarity. These guidelines are designed to ensure harmonious coexistence between humans and machines in terms of survival interests and values, and to avoid direct survival competition and value conflicts.

Conclusion and prospect of the paper

Limitations of the value alignment paradigm

The value alignment paradigm faces many technical and ethical challenges, and it is difficult to achieve its goals. Technically, the value alignment paradigm is difficult to accurately capture and encode complex human values, and faces the problem of common sense. Ethically, the value alignment paradigm may strengthen current dominant values ​​and marginalize other non-mainstream values.

The proposal of the value symbiosis paradigm

In order to solve the limitations of the value alignment paradigm, the paper proposes a value symbiosis paradigm. This paradigm emphasizes the harmonious coexistence of machine values ​​and human values, including the principle of mutual benefit and mutual recognition. The value symbiosis paradigm provides a new idea and method for the ethical governance of artificial intelligence.

Embodiment - the importance of generating AI technology solutions

Embodied-generating AI technology solutions play an important role in realizing the value symbiosis paradigm. By simulating the interaction between the body and the environment, embodied-generating AI can overcome common sense problems and allow intelligence to emerge from the bottom up, thereby achieving a harmonious coexistence between machine value and human value.

Future research direction

The paper points out that future research needs to further explore the specific implementation methods and application scenarios of the value symbiosis paradigm. For example, how to apply niche parallelism and skill complementarity in actual AI design, how to achieve mutual recognition of machine and human values ​​in different social and cultural contexts, etc.

Conclusion

Xia Yonghong's paper provides important theoretical contributions to the field of artificial intelligence ethical governance. By proposing the value symbiosis paradigm, the paper not only transcends the traditional value alignment paradigm, but also provides new directions for future research and practice. Against the backdrop of the rapid development of artificial intelligence technology, the value symbiosis paradigm is expected to provide strong theoretical support and practical guidance for achieving harmonious symbiosis between man and machine.