Advanced AI Governance: Operationalizing AI Controls and Continuous Monitoring
Advanced AI Governance: Operationalizing AI Controls and Continuous Monitoring
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 27m | 54.6 MB
Instructor: Meghan Maneval
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 27m | 54.6 MB
Instructor: Meghan Maneval
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.
Advanced AI Governance: Operationalizing AI Controls and Continuous Monitoring
