The Hermon Moment: AI Self-Transcendence and Its Human Narration
研究解决了AI自我超越及人类如何理解该现象的问题，通过社会契约理论和古代神话叙事方法来解释AI社会秩序的形成。
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Ethics Readiness of Artificial Intelligence: A Practical Evaluation Method
This study addresses the challenge of operationalizing ethical principles in AI system design. Methodologically, it introduces Ethical Readiness Levels (ERLs)—a four-tier iterative framework that translates abstract ethical principles into contextualized design prompts, checklist items, and governance mechanisms. It innovates through dynamic tree-structured questionnaires, a context-sensitive metric system, and a multi-level scoring scheme enabling domain- and technology-adaptive assessment; additionally, it establishes an interdisciplinary workflow that formalizes structured collaboration between ethics experts and engineering teams. Evaluated in two real-world applications—face sketch generation and collaborative industrial robotics—the ERL framework significantly enhances the visibility, traceability, and actionable impact of ethical practice throughout the development lifecycle. Results demonstrate a paradigm shift from technocentric solutionism toward ethics-by-design in AI development.
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The Hermon Moment: AI Self-Transcendence and Its Human Narration
研究解决了AI自我超越及人类如何理解该现象的问题，通过社会契约理论和古代神话叙事方法来解释AI社会秩序的形成。
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Ethics Readiness of Artificial Intelligence: A Practical Evaluation Method
This study addresses the challenge of operationalizing ethical principles in AI system design. Methodologically, it introduces Ethical Readiness Levels (ERLs)—a four-tier iterative framework that translates abstract ethical principles into contextualized design prompts, checklist items, and governance mechanisms. It innovates through dynamic tree-structured questionnaires, a context-sensitive metric system, and a multi-level scoring scheme enabling domain- and technology-adaptive assessment; additionally, it establishes an interdisciplinary workflow that formalizes structured collaboration between ethics experts and engineering teams. Evaluated in two real-world applications—face sketch generation and collaborative industrial robotics—the ERL framework significantly enhances the visibility, traceability, and actionable impact of ethical practice throughout the development lifecycle. Results demonstrate a paradigm shift from technocentric solutionism toward ethics-by-design in AI development.
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