Advanced AI Governance: Operationalizing AI Controls and Continuous Monitoring

Course details

As AI technologies continue to evolve and infiltrate every aspect of our businesses, the need for robust AI governance has never been more critical. In this course, AI governance pioneer Meghan Maneval dissects AI governance to give you an understanding of AI regulations and their role in developing your organization’s AI controls. Explore the critical steps to operationalizing AI governance by integrating controls into your business processes and conducting business impact assessments. Plus, discover practical steps for building an AI continuous monitoring program that scales into the future.

Learning objectives
Design and implement effective controls to ensure the security and reliability of AI systems.
Establish a comprehensive governance framework that is both compliant and adaptable to organizational needs.
Conduct AI Business impact assessments and integrate AI controls into business processes.
Effectively apply these strategies within their organization to ensure that AI systems are secure, functional, and adhere to ethical standards throughout their operational life cycle.

Concepts

0. Introduction

01 - Kickstart your AI governance journey
02 - Preparing for success

1. Understanding and Applying AI Governance

03 - Navigate AI regulations for responsible AI use
04 - Streamline your AI governance with existing controls
05 - Design AI controls to manage risk and ensure compliance

2. Operationalizing AI Controls

06 - Evaluate and enhance your controls
07 - Integrate AI controls into business processes

3. Strategies for Success and Scalability

08 - Conduct an AI impact assessment to prioritize risk
09 - Deploy trustworthy AI systems with confidence
10 - Monitor and scale AI systems for long-term success

Conclusion

11 - Wrap-up, takeaways, and next steps