> For the complete documentation index, see [llms.txt](https://documentations.seclea.com/nist-ai-risk-management-framework/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentations.seclea.com/nist-ai-risk-management-framework/grn-2-ai-organisation-structure/grn-2.2-ai-risk-management-training.md).

# GRN 2.2 - AI Risk Management Training

NIST AI RMF (in the playbook companion) states:

> ### GOVERN 2.2 
>
> The organization’s personnel and partners are provided AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements. 
>
> <details>
>
> <summary><strong>About</strong></summary>
>
> Through regular training, AI actors should maintain awareness of:
>
> * AI risk management goals and their role in achieving them.
> * Organizational policies, applicable laws and regulations, and industry best practices and norms.
>
> </details>
>
> <details>
>
> <summary><strong>Actions</strong></summary>
>
> * Establish policies for personnel addressing ongoing education about:
>   * Applicable laws and regulations for AI systems.
>   * Negative impacts that may arise from AI systems.
>   * Organizational AI policies.
>   * Trustworthy AI characteristics.
> * Verify that organizational AI policies include mechanisms for internal AI personnel to acknowledge and commit to their roles and responsibilities.
> * Verify that organizational policies address change management and include mechanisms to communicate and acknowledge substantial AI system changes.
> * Define paths along internal and external chains of accountability to escalate risk concerns.
>
> </details>
>
> <details>
>
> <summary><strong>Transparency and Documentation</strong></summary>
>
> **Organizations can document the following:**
>
> * Are the relevant staff dealing with AI systems properly trained to interpret AI model output and decisions as well as to detect and manage bias in data?
> * How does the entity determine the necessary skills and experience needed to design, develop, deploy, assess, and monitor the AI system?
> * How does the entity assess whether personnel have the necessary skills, training, resources, and domain knowledge to fulfill their assigned responsibilities?
> * What efforts has the entity undertaken to recruit, develop, and retain a workforce with backgrounds, experience, and perspectives that reflect the community impacted by the AI system?
>
> </details>


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