AI is no longer a futuristic concept it’s an active driver of enterprise change. However, with great innovation comes significant risk. In this episode, we explore how risk professionals identify, assess, and respond to AI-driven threats. From strategic and operational impacts to the critical need for human oversight, we break down the framework for building intelligent, resilient enterprises.

🎯 Key Topics Covered in This Episode:

AI Risk Identification: Why AI risk isn't just an "IT issue" but a fundamental driver of enterprise-wide risk.
AI as an Enterprise Risk Driver: Categorizing AI risks into Strategic, Operational, Compliance/Legal, and Reputational domains.
Bias and Legal Pitfalls: Real-world examples of gender bias in AI hiring and lending tools that led to regulatory penalties.
Assessing AI Risk: Using Impact, Likelihood, Velocity, and Control Effectiveness to quantify the "speed" and "magnitude" of AI failures.
The Four Risk Responses: How to decide when to Avoid, Mitigate, Transfer, or Accept AI risk based on organizational appetite.
Governance & Ownership: Who truly owns AI risk? Defining roles across Business, IT, and Compliance teams.
Implementing Controls: A guide to Preventive, Detective, and Corrective controls for the AI lifecycle.
Integrating AI into ERM: Why AI risk must be part of your central risk register rather than a siloed technical framework.
Continuous Monitoring: The necessity of tracking "model drift" and data accuracy at frequent intervals.

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📽️ Watch the full episode on YouTube: https://www.youtube.com/watch?v=25lAfjw_wvQ

CRISC Explained: Enterprise Risk Strategies for the Age of AI