Format: Online
Organizations are rapidly adopting generative AI tools to support research, drafting, analysis, and decision-making. While these tools can create significant efficiencies, they also introduce ethical and professional responsibilities related to accuracy, completeness, transparency, and reliance on AI-generated outputs.
This webinar explores AI validation as a practical component of responsible and ethical AI use. Participants will learn how risk-based validation practices can help organizations establish confidence in AI-generated outputs, support professional judgment, and demonstrate appropriate oversight of AI-assisted work. Topics will include common validation challenges, documentation expectations, human review, and the controls needed to support trustworthy and defensible AI use.
Designed for internal auditors and governance professionals, this session provides practical approaches that can be applied immediately to strengthen both the reliability and ethical use of AI within organizational processes.
DATE: Aug 6, 2026
TIME: 12:00 PM–1:00 PM ET
One (1) NASBA CPE will only be awarded to participants on the live broadcast who are logged in for a minimum of 50 minutes and engage on at least three poll questions per each hour of the event.
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By the end of this webinar, attendees will be able to:
- Identify key risk and ethical considerations that influence AI validation requirements, including intended use, reliance, data sensitivity, and transparency.
- Select practical validation techniques and controls to support responsible and trustworthy AI-assisted workflows.
- Differentiate between human review and a documented validation process and explain how each contributes to ethical AI use.
- Outline risk-based approaches for documenting and standardizing AI validation activities to support accountability and defensibility.
- Describe how validation expectations may evolve as organizations adopt increasingly autonomous and agentic AI systems.
Learning Objective(s):
SPEAKER
Jasmine Triplett, CIA, CCEP
Founder & AI Governance Advisor, Ivy Orion
Jasmine Triplett is the Founder & AI Governance Advisor at Ivy Orion with experience in government internal audit, compliance, and operational risk. As a Certified Internal Auditor (CIA) and Certified Compliance & Ethics Professional (CCEP), her work focuses on helping organizations evaluate AI use cases, design practical controls, and build defensible AI validation processes.
Jasmine specializes in practical AI governance approaches that help organizations move from informal experimentation toward structured, trustworthy, and sustainable AI adoption. Her experience includes assessing AI tools within government environments, identifying appropriate use cases, and developing validation-focused approaches for responsible AI implementation.