Achievements Of AI Ethics And Good Governance | The Papers Of Dongda AI Ethics Laboratory Were Included In The "New China Digest" "Newspaper And Journal Collection"
Achievements Of AI Ethics And Good Governance | The Papers Of Dongda AI Ethics Laboratory Were Included In The "New China Digest" "Newspaper And Journal Collection"
The internalist approach and its representation of knowledge
Artificial Intelligence Bias and Conflict Governance
The internalist approach and its representation of knowledge
-Achievements of AI ethical good governance-
"Xinhua Digest" Collection
Recently, the paper "Intrinsic Approaches and Knowledge Representation of Artificial Intelligence Prejudice and Conflict Governance" by Associate Professor Xu Jin and Professor Wang Jue of Southeast University was included in "New China Digest" (Issue 3, 2025) "Records of Newspaper Articles" This article was published in "Journal of Southeast University (Philosophy and Social Sciences Edition)" (Issue 6, 2024), and is a phased result of the major project of the National Social Science Foundation "Research on the Construction of China's Ethics and Moral Database in the 40 Years of Reform and Opening Up" ().
The article proposes that under the interaction of multiple factors such as politics, economy, and technology, the development of global artificial intelligence technology has shown a pattern of oligopoly and hierarchical differentiation. The differences in regional, cultural, and educational backgrounds of developers, as well as the differences in social, cultural and political attributes of training data are aggravating knowledge monopoly and ethical monopoly, amplifying cultural bias and value conflicts, and becoming risks and challenges for in-depth application of artificial intelligence in the entire field. How to prevent and resolve prejudice and conflict has become a key issue that needs to be solved urgently in the ethical governance of artificial intelligence.
The article believes that the technological evolution of artificial intelligence and ethical governance show a state of short-term mutual checks and balances and long-term interdependence. It is urgent to use the research concept of big science to generate a synchronous link between ethics and technology to achieve dynamic balance and coordinated development of technology and ethics. Taking ethical standards as the logical starting point of artificial intelligence rather than evaluation standards, creating artificial intelligence with moral initiative is an effective strategy to prevent and resolve bias and conflict. Pre-training-fine-tuned technical paradigms and fine-tuning datasets provide a technical basis for intrinsic governance approaches. The article explores structured ethical knowledge representation based on ontology representation, and designs a technical route for refinement ethical data sets, providing a methodology and roadmap for constructing the moral initiative of artificial intelligence. Taking the ontological knowledge representation of Chinese ethics as an example, we demonstrate how the internalist approach to artificial intelligence bias and conflict governance is possible.
