NIST AI RMF Playbook
AI RMF Playbook > Govern > GOVERN 2.2

GOVERN 2.2: The organization's personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements.

About:
To enhance AI risk management adoption and effectiveness, organizations are encouraged to identify and integrate appropriate training curricula into enterprise learning requirements. Through regular training, AI actors can 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.

See [MAP 3.4]() and [3.5]() for additional relevant information.

Suggested Actions:
- Establish policies for personnel addressing ongoing education about:
- Applicable laws and regulations for AI systems.
- Potential negative impacts that may arise from AI systems.
- Organizational AI policies.
- Trustworthy AI characteristics.
- Ensure that trainings are suitable across AI actor sub-groups - for AI actors carrying out technical tasks (e.g., developers, operators, etc.) as compared to AI actors in oversight roles (e.g., legal, compliance, audit, etc.).
- Ensure that trainings comprehensively address technical and socio-technical aspects of AI risk management.
- 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.

Transparency and Documentation:
### 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?

### AI Transparency Resources
- WEF Model AI Governance Framework Assessment 2020. [URL](https://www.pdpc.gov.sg/-/media/Files/PDPC/PDF-Files/Resource-for-Organisation/AI/SGModelAIGovFramework2.pdf)
- WEF Companion to the Model AI Governance Framework- 2020. [URL](https://www.pdpc.gov.sg/-/media/Files/PDPC/PDF-Files/Resource-for-Organisation/AI/SGIsago.pdf)
- GAO-21-519SP: AI Accountability Framework for Federal Agencies & Other Entities. [URL](https://www.gao.gov/products/gao-21-519sp)

References:
Off. Comptroller Currency, Comptroller's Handbook: Model Risk Management (Aug. 2021). [URL](https://www.occ.gov/publications-and-resources/publications/comptrollers-handbook/files/model-risk-management/index-model-risk-management.html)

"Developing Staff Trainings for Equitable AI," Partnership on Employment & Accessible Technology (PEAT, peatworks.org). [URL](https://www.peatworks.org/ai-disability-inclusion-toolkit/ai-disability-inclusion-resources/developing-staff-trainings-for-equitable-ai/)