E-book - AI Governance: An Executive Guide to Secure, Responsible and Sustainable Innovation

AI Governance: An Executive Guide to Secure, Responsible and Sustainable Innovation

Artificial Intelligence is rapidly becoming a strategic capability for organizations across industries.

As companies adopt Generative AI, machine learning systems, AI agents, and automated decision-making technologies, the need for effective governance becomes increasingly important.

Organizations need to understand not only what AI can do, but also how it should be managed, monitored, evaluated, and controlled.

Who is responsible for an AI system? How should AI risks be identified and managed? What policies should organizations establish? How should AI systems be monitored throughout their lifecycle? How can organizations promote responsible and trustworthy AI?

**AI Governance** provides a practical introduction to the principles and organizational practices required to establish a structured approach to AI governance.

The book covers organizational structures, AI risk management, ethics, responsible AI, auditing, monitoring, indicators and KPIs, lifecycle management, and the development of an organizational AI governance framework.

It is designed for technology leaders, managers, governance professionals, risk and compliance teams, cybersecurity professionals, AI managers, architects, and other professionals involved in the adoption and management of Artificial Intelligence.

The goal is to help organizations move beyond experimentation and establish a more structured approach to managing AI risks, responsibilities, controls, and lifecycle activities.

Effective AI governance is not about slowing innovation down.

It is about creating the structure and controls necessary to enable organizations to adopt AI with greater confidence, accountability, security, and responsibility.