Course Description:
As artificial intelligence reshapes the information landscape, and regulatory filings grow more complex, state commissions face new challenges in transparency, efficiency, and oversight. This webinar provides a practical, regulator-centered introduction to how AI and structured data—especially XBRL—can be used to modernize workflows, reduce risk, and improve public accountability. Participants will explore real-world use cases, common tools, governance strategies, and the AXIS™ Framework: a model developed by regulators to integrate AI policy, data structure, and implementation safeguards. Whether you're already experimenting with these technologies or just beginning to explore their impact, this session will provide clear, actionable insights grounded in our shared regulatory mission.
- Understand the structure and utility of XBRL in state regulatory environments
- Evaluate common AI tools and recognize practical use cases and limitations
- Analyze legal, audit, and transparency risks associated with emerging technologies
- Describe the components of the AXIS™ Framework and its role in responsible AI governance
- Apply lessons from structured data and AI integration to improve commission oversight and operations
Prerequisites: No prior technical knowledge is required. A general understanding of regulatory filings, auditing, or utility oversight is helpful but not necessary.