The Policy Basics of AI Governance

About the Paper

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This white paper provides a comprehensive understanding of building and implementing AI governance policies within an organization. It addresses the challenges posed by the integration of AI systems, particularly in terms of governance, compliance, and ethical considerations. The document emphasizes the importance of establishing a robust AI governance framework to mitigate risks such as regulatory penalties, reputational damage, and operational inefficiencies.
The paper outlines the essentials of forming a policy team, understanding policy, procedure, and guideline basics, and discusses AI governance-specific challenges based on current regulatory impacts. It highlights the significance of a well-documented policy framework that includes clear definitions, principles, and references to applicable procedures and guidelines. Additionally, it provides strategies for leveraging data governance and engaging stakeholders within the organization.
By meticulously documenting models, their types, associated risks, and ownership, organizations can create a clear and actionable framework that enhances transparency, accountability, and efficacy. This structured approach ensures that AI initiatives are well-aligned with organizational goals and standards, fostering trust and sustainability in AI endeavors.

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