Best practices for navigating AI governance

While AI continues to transform industries, organizations face challenges in governing AI-related risks. This presentation transcript offers a framework for risk professionals and AI developers to manage these AI governance complexities.

By reading, you’ll learn about:

• AI governance pillars
• Data governance's role in preventing bias and model drift
• Ethical considerations and data quality in building reliable AI models
• And more

By focusing on ethical planning, data governance, and GRC programs, organizations can create sustainable AI solutions that build trust. Read on now to find out how you can successfully navigate the AI lifecycle.