02. Playbook Management

2.1 Playbook Management and Advancement

Dynamo AI, as the steward of this Playbook, is establishing a program to ensure these best practice recommendations remain relevant through the maturation of enterprise AI deployment.

Playbook Engagement

This program includes the following assessment mechanisms:

  • A twice-annual review overseen by Dynamo’s Head of AI Compliance Strategy with AI research, machine learning, and product leadership to review and update each Playbook with learning, best practice, and control enhancement requirements.
  • A twice-annual distribution to AI Council members, which consists of a comprehensive list of AI, technology, and executive leaders within financial institutions across the US. For more on the AI Council, please engage with Dynamo AI.
  • At least annually, an off-site session hosted by Dynamo AI with industry participation on reviewing, validating, and articulating emerging control requirements for inclusion into the Playbook.
  • At least annually, a distribution of the Playbook to policy members, including members of Congress, for commentary.
  • At least annually, the distribution of the Playbook to non-governmental enterprises and trade associations for commentary. Please engage Dynamo AI for further details or to be included in this distribution.

Please note, this Playbook is solely focused on the implementation of AI guardrail controls. Other Playbooks within Dynamo AI’s series contain additional AI control topics, such as the testing and evaluation of AI. Please reach out to Dynamo AI for more detail on the full series of Dynamo Playbooks.

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