AI governance for responsible, transparent, and explainable AI workflows
AI presents an enormous opportunity to turn data into insights and spark better decision-making. But today, many organizations struggle to operationalize AI with confidence and respond to changing regulations.
This e-book discusses the concept of AI governance, which is defined as the overall process of directing, managing, and monitoring the AI activities of an organization to ensure outcomes are trusted and explainable. It outlines the key building blocks and introduces IBM’s new toolkit for AI governance, IBM watsonx.governance.
If you’re eager to have greater trust in your AI, you should check out this resource.