I recently published a book on AI Governance with 215 pages, 76 controls and mapping to the EU AI Act, NIST, and other regulations. The book is free-to-download here.
The overall AI Governance Framework is shown in Figure 1.
With the rapidly evolving AI marketplace, this framework needs to be updated frequently. As a consequence, the YDC team has made the decision to open source our AI Governance Framework. YDCAIGOV is now available in its own space on Hugging Face under the cc-by-nc-4.0 license.
From the Gradio-based user interface on Hugging Face, the user selects the component of AI Governance for which they need to view the artifacts, or selects all (see Figure 2).
The user selected Component 1. Establish Accountability for AI from the dropdown menu (see Figure 3).
The output section displays the AI Governance artifacts in JSON format including component, control, regulation, citation, and jurisdiction (see Figure 4).
The user may then use the copy button to select the artifacts. Alternatively, the AI Governance artifacts may then be propagated to third party applications such as Microsoft Purview using the Hugging Face API. We customized the operating model in Purview to add custom assets, attributes, and relations. Users may then add additional information such as Maturity Rating and Maturity Rating Explanation natively in Purview (see Figure 5).
Figure 6 shows the AI Governance artifacts in a traceability diagram in Microsoft Purview.
Figure 7 shows the reporting of the AI Governance maturity score by component and control in Microsoft Power BI.
Full disclosure – With the 2023 sale of my previous company, neither YDC nor I are in the data governance business anymore.
