为提升AI可信度，提出9项标准化事故报告建议。
Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting
- 分析现有公开AI事故数据库，识别报告实践中的九项缺失。
- 提出九条可操作建议，推动建立统一的AI事故报告标准。
- 适合政策制定者、AI开发者及监管机构参考，助力可持续发展。
AI技术的广泛应用导致其事故频发，对个人、组织和社会构成风险与伤害。本研究指出当前缺乏标准化协议来可靠、全面地收集此类事故数据，这对预防未来事故和制定缓解策略至关重要。通过系统方法分析现有公开的AI事故数据库，研究识别出当前报告实践中存在的九个关键缺口，并据此提出九项可执行的改进建议。确保如AI等使能技术的可信性，是实现可持续数字化转型的必要条件。本研究推动建立标准以防范未来AI事故，促进可信AI发展，从而支持联合国可持续发展目标的实现。通过国际合作，利益相关方可释放AI的变革潜力，共同迈向可持续且包容的未来。
原文摘要 · Abstract (English)
The increasing use of AI technologies has led to increasing AI incidents, posing risks and causing harm to individuals, organizations, and society. This study recognizes and addresses the lack of standardized protocols for reliably and comprehensively gathering such incident data crucial for preventing future incidents and developing mitigating strategies. Specifically, this study analyses existing open-access AI-incident databases through a systematic methodology and identifies nine gaps in current AI incident reporting practices. Further, it proposes nine actionable recommendations to enhance standardization efforts to address these gaps. Ensuring the trustworthiness of enabling technologies such as AI is necessary for sustainable digital transformation. Our research promotes the development of standards to prevent future AI incidents and promote trustworthy AI, thus facilitating achieving the UN sustainable development goals. Through international cooperation, stakeholders can unlock the transformative potential of AI, enabling a sustainable and inclusive future for all.
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