Understanding data models & model drift in the courts

As AI tools become more common in court operations, ensuring these systems remain accurate, reliable, and accountable is critical. 

The August Data Dives webinar will introduce the fundamentals of data models and explain the growing challenge of model drift, along with practical strategies for monitoring, governance, and mitigation. Learn how changing data and evolving conditions can impact model performance, and what courts can do to manage risk while supporting innovation and public trust by correcting model drift.

Following this webinar, attendees will:

• Gain an overview of how boundaries are established in training models.
• Understand how data and concept drift can lead to model drift — and why it matters.
• Explore the importance of monitoring data and model performance.
• Learn strategies for identifying and correcting model drift.

Moderator:

• Jason Tashea, director of technology, data, and knowledge management, NCSC

Panelists:

• Jannet Okazaki, principal court management consultant, NCSC
• Henry Yung, data scientist, Orange County (California) Superior Court