Navigating AI Governance: Frameworks and Best Practices

About the Paper

Artificial Intelligence (AI) has potential to transform business operations, drive efficiency and innovation, and improve customer experiences. However, its rapid adoption and evolution present significant governance challenges. Gartner says more than 80% of enterprises will have used Generative AI APIs or deployed Generative AI-enabled applications by 2026.

The white paper "Navigating AI Governance: Governance Frameworks and Best Practices" explores the necessity, challenges, and opportunities of AI governance. It highlights the importance of establishing clear governance structures to ensure ethical and transparent AI usage.

AI governance establishes the policies, guidelines, and practices that safeguard organizations from the risks associated with AI implementation. Without these measures in place, organizations can face ethical challenges, violate data privacy regulations, damage their reputation, and incur financial losses. Implementing comprehensive AI governance from the outset is crucial for responsible and successful AI adoption.

Read this white paper to learn more about:
  1. Understand the importance of clear governance structures for ethical AI and identify potential obstacles and benefits in AI governance.
  2. Overview of ISO/IEC Standards, NIST AI Framework, and EU Guidelines.
  3. Emphasis on data governance and continuous monitoring.
  4. Need for stakeholder engagement in AI governance.
  5. Learn how Prolifics can support organizations in implementing AI governance.
Download this white paper to learn more about how AI governance essential frameworks, best practices, and strategies help to navigate the complexities of AI.
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