１查找AI相關次級委員會(Subcommittee；SC)
（１）什麼是ISO 次級委員會(Subcommittee；SC)
查找ISO，截至本文發表為止，ISO共有25,654國際標準，172個會員，842 技術委員會(Technical committees；TC)和次級委員會(Subcommittees；SC)
技術委員會(Technical committees)和次級委員會(subcommittees)是負責制定標準規範的組織，若能找到負責制訂與AI相關的SC，就可以查找到所有與AI相關ISO規範
（２）查找AI相關次級委員會(Subcommittee；SC)
現在大家蠻常問Chat GPT查找資訊，但考量到AI可能回答錯誤資訊，這邊說明一個土方法：Google查找
當使用Google關鍵字用”ISO和AI”，會跳出ISO中介紹AI的相關網頁，點開網頁進去，裡面有對AI相關的介紹，在該頁介紹的最下面，會列出幾個最新AI相關標準
隨便點開一個標準，可以看到Technical committees，以ISO/IEC 42001為例，Technical committees=ISO/IEC JTC 1/SC 42
ISO/IEC JTC 1/SC 42就是ISO中AI的SC
２．ISO 次級委員會(SC)中會列出該SC發行的所有標準
點開ISO/IEC JTC 1/SC 42，會看到該委員會所發行的所有標準，可以看到截至本文發表為止，SC42已發行33個標準，撰寫中36個標準。
把滑鼠移到紅紅的數字上，點進去，就可以看到標準清單!
與AI相關的ISO標準，截至本文發表時間為止，共有33篇：
- ISO/IEC TS 4213:2022 Information technology — Artificial intelligence — Assessment of machine learning classification performance
- ISO/IEC 5259-1:2024 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples
- ISO/IEC 5259-2:2024 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
- ISO/IEC 5259-3:2024 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines
- ISO/IEC 5259-4:2024 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
- ISO/IEC 5338:2023 Information technology — Artificial intelligence — AI system life cycle processes
- ISO/IEC 5339:2024 Information technology — Artificial intelligence — Guidance for AI applications
- ISO/IEC 5392:2024 Information technology — Artificial intelligence — Reference architecture of knowledge engineering
- ISO/IEC TR 5469:2024 Artificial intelligence — Functional safety and AI systems
- ISO/IEC 8183:2023 Information technology — Artificial intelligence — Data life cycle framework
- ISO/IEC TS 8200:2024 Information technology — Artificial intelligence — Controllability of automated artificial intelligence systems
- ISO/IEC TS 12791:2024 Information technology — Artificial intelligence — Treatment of unwanted bias in classification and regression machine learning tasks
- ISO/IEC TR 17903:2024 Information technology — Artificial intelligence — Overview of machine learning computing devices
- ISO/IEC 20546:2019 Information technology — Big data — Overview and vocabulary
- ISO/IEC TR 20547-1:2020 Information technology — Big data reference architecture — Part 1: Framework and application process
- ISO/IEC TR 20547-2:2018 Information technology — Big data reference architecture — Part 2: Use cases and derived requirements
- ISO/IEC 20547-3:2020 Information technology — Big data reference architecture — Part 3: Reference architecture
- ISO/IEC TR 20547-5:2018 Information technology — Big data reference architecture — Part 5: Standards roadmap
- ISO/IEC 22989:2022 Information technology — Artificial intelligence — Artificial intelligence concepts and terminology
- ISO/IEC 23053:2022 Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
- ISO/IEC 23894:2023 Information technology — Artificial intelligence — Guidance on risk management
- ISO/IEC TR 24027:2021 Information technology — Artificial intelligence (AI) — Bias in AI systems and AI aided decision making
- ISO/IEC TR 24028:2020 Information technology — Artificial intelligence — Overview of trustworthiness in artificial intelligence
- ISO/IEC TR 24029-1:2021 Artificial Intelligence (AI) — Assessment of the robustness of neural networks — Part 1: Overview
- ISO/IEC 24029-2:2023 Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methods
- ISO/IEC TR 24030:2024 Information technology — Artificial intelligence (AI) — Use cases
- ISO/IEC TR 24368:2022 Information technology — Artificial intelligence — Overview of ethical and societal concerns
- ISO/IEC TR 24372:2021 Information technology — Artificial intelligence (AI) — Overview of computational approaches for AI systems
- ISO/IEC 24668:2022 Information technology — Artificial intelligence — Process management framework for big data analytics
- ISO/IEC TS 25058:2024 Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Guidance for quality evaluation of artificial intelligence (AI) systems
- ISO/IEC 25059:2023 Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems
- ISO/IEC 38507:2022 Information technology — Governance of IT — Governance implications of the use of artificial intelligence by organizations
- ISO/IEC 42001:2023 Information technology — Artificial intelligence — Management system
３．查找或翻譯中文版規範
找到ISO AI相關規範後，翻譯成中文版會較容易閱讀，查找方式可參考 【規範標準二三事】如何將ISO／IEC／UL規範標準翻譯成中文版以加速閱讀
因AI標準相對較新，台灣CNS翻譯版本會較少，查詢中國國家標準GB比較容易找到相關規範，查找關鍵字的時候，要使用簡體字和正確用詞
例如AI=Artificial intelligence=人工智慧(台灣)=人工智能(中國)，查找GB網站要使用”人工智能”才比較容易找到相關規範
４．除了該SC發行的規範，還有其他相關的ISO規範嗎？
以ISO 42001 人工智慧管理系統為例，規範裡面會引用其他相關領域ISO的規範，例如：
（１）ISO Guide 73:2009 - Risk management — Vocabulary
（２）ISO 31000:2018 Risk management — Guidelines
上面的這2個規範與風險管理相關，Technical Committee是ISO/TC 262，與AI相關的SC(JTC 1/SC 42)不同
所以，嚴格來說，與AI相關所有的ISO規範，並不會只有在1個SC內，會與風險管理、資訊安全、數據、稽核等幾個領域相關，若時間與資源充足，可以把這些被引用規範找出來了解
實務上能把幾個關鍵的ISO規範了解通透已經相當不容易，建議抓緊幾個關鍵規範了解清楚即可
延伸閱讀：
