AI can unlock enormous strategic value, but it can also amplify existing business risks and introduce entirely new ones. As organizations accelerate AI adoption, the stakes of responsible decision-making grow higher. Without clear governance, proper oversight, and structured evaluation, AI systems can expose organizations to liability, non-compliance, reputational damage, operational failure, unintended harm, or public mistrust.

AI Risk Lab: Managing AI to Maximize Opportunity and Avoid Liability provides a practical, interdisciplinary foundation for managing AI responsibly. Led by Katrina Ingram, a respected instructor and leader in responsible technology practice, this two-day, live online course explores how to evaluate and mitigate AI risks through a blend of risk management, business ethics, AI governance, cybersecurity, internal audit, and corporate social responsibility.

Through lectures, real-world examples, and guided exercises, you’ll learn how to:

• Identify the major categories of AI risk (legal, financial, operational, reputational, societal).
• Evaluate AI’s impact on stakeholders through ethical and governance lenses.
• Apply due-diligence frameworks to responsibly assess AI systems and vendor solutions.
• Align risk mitigation strategies with your organization’s values, obligations, and regulatory environment.

This workshop gives you the tools, language, and structure to make informed, accountable decisions about AI design, adoption, and deployment.

Program Highlights

Over two days of immersive learning, you’ll:

• Explore corporate AI risk categories: legal, financial, operational, and reputational
• Examine societal and ethical risks, including fairness, bias, safety, and public trust
• Learn how to conduct due diligence on AI systems, vendors, and use cases
• Apply interdisciplinary risk frameworks from ethics, governance, cybersecurity, and audit
• Analyze real-world examples of AI failures and successful mitigation
• Develop strategies to align AI adoption with corporate values and responsible practices
• Understand how emerging regulations and standards affect AI deployment

By the End of This Course, You’ll Be Able To:

• Identify and articulate key AI-related business and societal risks
• Analyze AI’s impact on stakeholders using ethical and governance frameworks
• Apply structured due-diligence processes to evaluate AI systems and vendors
• Design risk mitigation strategies aligned to corporate values and regulatory expectations
• Integrate responsible AI governance principles into decision-making
• Support your organization in adopting AI safely, sustainably, and transparently

How the Course Works

This two-day, live online workshop combines instructor-led sessions, interactive discussions, and hands-on exercises guided by Katrina Ingram. Each module builds toward a comprehensive understanding of AI risk, grounded in real-world scenarios and interdisciplinary frameworks.

During the live sessions, you’ll experience:

• Engaging lectures exploring AI risk categories and governance approaches
• Group discussions and breakout activities to apply new concepts
• Practical exercises in risk assessment, due diligence, and mitigation
• Real-world case studies illustrating success, failure, and lessons learned
• Live Q&A and instructor feedback throughout
• Continued access to recordings and course materials after the session

All content and materials are hosted in the DATAVERSITY Training Center (DVTC), where you’ll also join the live Zoom sessions.

Schedule

Dates: Mondays, June 8 & 15, 2026
Time: 8 AM – 3 PM Pacific / 11 AM – 6 PM Eastern
CEUs: 12

Pricing

$600 Early Bird (through May 29, 2026)
$750 Regular Price (after May 29, 2026)

Registration Deadline: Friday, June 5, 2026

Why Choose This Course

• Taught by Katrina Ingram, a recognized leader in responsible AI, ethics, and risk governance
• Combines corporate risk management, AI governance, and ethical frameworks into one cohesive learning experience
• Provides practical templates and due-diligence tools you can apply immediately
• Addresses both organizational and societal impacts of AI
• Designed for cross-functional teams working in AI strategy, compliance, governance, or innovation
• Ideal for organizations facing pressure to adopt AI responsibly and reduce liability

Is This Course Right for You or Your Team?

This course is ideal for:

• Risk, compliance, legal, and audit professionals evaluating AI initiatives
• Data and AI governance teams building internal frameworks and guardrails
• Technology, product, and innovation leaders responsible for deploying AI
• Executives and managers seeking clarity on AI liability and organizational exposure
• Professionals responsible for responsible AI, ethics, or corporate social responsibility
• Anyone tasked with assessing the risks and impacts of AI systems

No technical or AI development expertise is required. This course focuses on strategic, governance, organizational, and ethical considerations.

Private Team Training

Organizations can host private versions of this lab to explore AI risk in the context of their own systems, data, regulations, and risk profile. Corporate training packages include tailored exercises, facilitated discussions, and internal risk assessment templates.

Contact us to explore corporate training options or bulk enrollment packages.
Email: [email protected]

Backed by Industry Leaders

This workshop is developed and delivered by DATAVERSITY, the trusted authority in data management education for more than a decade. It integrates modern AI governance principles with proven corporate risk practices.

It equips professionals to navigate the rapidly evolving AI landscape, building the foundation for responsible, transparent, and trustworthy AI adoption.