The Fundamentals of AI Governance will cover topics including:

The key markers of artificial intelligence, machine learning, and data analytics in existing systems;
The essentials of data flows, data management, and data use for production level artificial intelligence applications;
The basics of AI models, managing and testing models, and deploying AI; and
The importance of understanding data and models as two levers to pull when managing bias and fairness in artificial intelligence and machine learning models.

If you have any questions about this program or would like to inquire about in-house training opportunities for your organization, please visit fpf.org/training or reach out to training@fpf.org.

Your Fundamentals of AI Governance training hosts:

- Brenda Leong, Senior Counsel & Director of AI & Ethics. Brenda oversees development of privacy analysis of AI and Machine Learning technologies, and manages the FPF portfolio on biometrics and digital identity, along with the ethics challenges of these emerging systems. Read her full bio.

- Dr. Sara Jordan, Senior Counsel for AI & Ethics. Sara's profile at FPF includes privacy implications of data sharing, data and AI review boards, privacy analysis of AI and Machine Learning (AI/ML) technologies, and analysis of the ethics challenges of AI/ML. Read her full bio.

Cancellation Policy: Cancellations will be honored, minus our vendor’s processing fee, up until 3 days before the session. For cancellations after that date, we will honor the registration for the next scheduled date of this class or an alternate FPF training classes.

Understanding Digital Data Flows: Fundamentals of AI Governance