AIA 人才認證 (AIATC™) 是 2024 年由台灣人工智慧學校 (AIA) 開始創建主辦的 AI 人才素養與專業能力認證,包含素養級 (AIATCL) 、工程級 (AIATCE) 與管理級認證(AIATCM) 等三種認證,認證內容對應到台灣人工智慧學校以「用 AI、做 AI 與管 AI 」為主軸所規劃的各種 AI 課程。
AIATCL 命題架構參考自 NIST (美國國家標準暨技術研究院) 所提出的 AI RMF (Artificial Intelligence Risk Management Framework) 風險管理架構,由內而外依序呈現人工智慧系統的核心維度、關鍵維度以及人工智慧生命週期階段。 為了更好的涵蓋AI素養範疇,AIA將核心推廣 : 除原有的People and Planet維度外,新增Technique維度,並維持原框架核心與外圍因子交互影響的概念。
| Techniques | What is |
|---|---|
| Predictive and Analytical AI | |
| Generative AI | |
| Project Building | |
| People and Planet | Impacts of AI on Society and Industry |
| Ethics and Laws of AI Governance |
| Data and Input | Gather, validate, and clean data the metadata and characteristics of the dataset, in light of objective legal and ethical consideration |
|---|---|
| AI Model & Concepts |
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| Task and Output | Deploy and use: Pilot, check compatibility with legacy systems, verify regulatory compliance, manage organizational change. |
| Application Context |
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談到與Impacts of AI on Society and Industry、Ethics and Laws of AI Goverence有關的內容
| Impacts of AI on Society and Industry |
Human rights and the broader well-being of society and the planet To ensure that professionals who design, develop, or deploy AI systems and applications or AI-based products or systems, recognize their unique position to exert influence on people, society, and the future of AI” |
|---|---|
| Ethics and Laws of AI Governance |
Social responsibility: Refer to the organization’s responsibility “for the impacts of its decisions and activities on society and the environment through transparent and ethical behavior” Sustainability: Refers to the “state of the global system, including environmental, social, and economic aspects, in which the needs of the present are met without compromising the ability of future generations to meet their own needs Responsible AI: Responsible AI is meant to result in technology that is also equitable and accountable |