用道德想象力破解AI黑箱，构建高风险领域治理框架
Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance
- 融合技术工程与伦理哲学，建立多维AI治理框架
- 通过微软Tay和英国等级算法案例揭示系统性风险
- 适合关注AI伦理、政策制定与跨学科治理的研究者
本文通过整合系统工程与道德想象、伦理哲学原则，探讨AI安全、安全与治理之间的复杂互动。基于《数学武器》与《系统思考》的洞见，结合当代人工智能伦理讨论，提出一个面向国防、金融、医疗、教育等高风险领域的综合性多维度治理框架。该方法融合严格的技术分析、量化风险评估与规范性评价，揭示黑箱模型中固有的系统性脆弱性。详细案例研究涵盖2016年微软Tay及2020年英国A-Level评分算法，显示安全漏洞、偏见放大与问责缺失可引发连锁失效，严重损害公众信任。论文最后提出增强AI韧性的针对性策略：动态监管机制、强健安全协议与跨学科监督体系，推动伦理与技术治理的前沿发展。
原文摘要 · Abstract (English)
This paper examines the intricate interplay among AI safety, security, and governance by integrating technical systems engineering with principles of moral imagination and ethical philosophy. Drawing on foundational insights from Weapons of Math Destruction and Thinking in Systems alongside contemporary debates in AI ethics, we develop a comprehensive multi-dimensional framework designed to regulate AI technologies deployed in high-stakes domains such as defense, finance, healthcare, and education. Our approach combines rigorous technical analysis, quantitative risk assessment, and normative evaluation to expose systemic vulnerabilities inherent in opaque, black-box models. Detailed case studies, including analyses of Microsoft Tay (2016) and the UK A-Level Grading Algorithm (2020), demonstrate how security lapses, bias amplification, and lack of accountability can precipitate cascading failures that undermine public trust. We conclude by outlining targeted strategies for enhancing AI resilience through adaptive regulatory mechanisms, robust security protocols, and interdisciplinary oversight, thereby advancing the state of the art in ethical and technical AI governance.
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