Virtual Schedule
2026
Webinars
Time: 10:00 AM – 11:00 AM CST
Frequency: Monthly (Tuesday)
April 23, 2026
Foundations of AI Governance
This session introduces the core principles of AI governance and why organizations must establish structured oversight as AI adoption accelerates. Participants will explore governance models, accountability structures, and the role of leadership in AI decision-making. The webinar will highlight how governance supports ethical and compliant AI use. Attendees will leave with a clear understanding of foundational governance components.
- Key components of AI governance frameworks
- Roles and responsibilities in AI oversight
- Aligning AI initiatives with organizational strategy
May 19, 2026
AI Ethics in Practice
This webinar focuses on translating AI ethics from theory into actionable business practices. Participants will examine ethical challenges such as bias, fairness, and transparency in AI systems. The session will provide tools for evaluating ethical risks in real-world applications. Attendees will gain practical approaches to embedding ethics into AI workflows.
- Identifying bias in AI systems
- Building transparent AI processes
- Ethical decision-making frameworks
June 16, 2026
AI Risk Management Essentials
This session explores the identification and mitigation of risks associated with AI systems. Participants will learn how to assess operational, reputational, and regulatory risks tied to AI deployment. The webinar will also introduce risk management frameworks specific to AI environments. Attendees will develop strategies to proactively manage AI-related risks.
- Types of AI risks and their impact
- Risk assessment methodologies
- Mitigation and monitoring strategies
July 21, 2026
Navigating AI Compliance & Regulations
This webinar provides an overview of the rapidly evolving global AI regulatory landscape. Participants will learn how organizations can stay compliant while scaling AI initiatives. The session will explore key regulatory trends and their business implications. Attendees will gain insights into building compliance-ready AI programs.
- Overview of global AI regulations
- Compliance strategies for organizations
- Preparing for regulatory audits
August 18, 2026
Data Governance in AI Systems
This session focuses on the critical role of data governance in AI success. Participants will explore how data quality, privacy, and security impact AI outcomes. The webinar will address governance practices for managing data across AI lifecycles. Attendees will understand how to strengthen data integrity within AI systems.
- Data quality and lifecycle management
- Privacy and security considerations
- Governance policies for data usage
September 15, 2026
Building AI Governance Frameworks
This webinar walks participants through the process of designing and implementing AI governance frameworks. Participants will learn how to align governance structures with business objectives. The session will include practical examples of framework implementation. Attendees will gain tools to operationalize governance across teams.
- Designing governance structures
- Policy development and enforcement
- Integrating governance into operations
October 20, 2026
AI Auditing & Accountability
This session explores how organizations can audit AI systems to ensure compliance and performance. Participants will learn the fundamentals of AI auditing, monitoring, and reporting. The webinar will highlight accountability mechanisms for AI decision-making. Attendees will gain insights into maintaining trust in AI systems.
- AI auditing processes and tools
- Monitoring system performance
- Accountability and reporting practices
November 17, 2026
Leading AI Governance Across the Enterprise
This webinar focuses on leadership strategies for managing AI governance at scale. Participants will explore how to lead cross-functional teams in AI initiatives. The session will highlight the importance of collaboration between technical and business stakeholders. Attendees will gain strategies for driving enterprise-wide AI governance adoption.
- Cross-functional leadership approaches
- Aligning stakeholders in AI initiatives
- Scaling governance across organizations