Strategies and Best Practices for Risk Assessment in AI Apps
Автор: DivIHN Integration Inc.
Загружено: 2026-02-04
Просмотров: 25
Описание:
AI risk is no longer theoretical. It is operational, regulatory, and business-critical.
In this webinar recap, we break down how AI risk actually behaves in production, why traditional risk models fail, and what mature organizations do differently to govern, measure, and control AI systems at scale.
What this session covers
How AI risk differs from traditional application risk?
Where AI risk shows up across the AI lifecycle?
When to run AI risk assessments and why timing matters?
How teams measure AI risk using likelihood and impact?
What technical and governance controls work in real systems?
How organizations define ownership and acceptable failure?
This session is for leaders, risk teams, and engineers responsible for deploying or governing AI in real environments.
#AIRisk #AIGovernance #ResponsibleAI #EnterpriseAI #AIInProduction #AIRiskAssessment #RiskManagement
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