Executive Vocabulary: Risk‑Based Controls for AI Models

🔹 00:00 • Why Risk Controls Matter
🔸 00:55 • Core Vocabulary: Risk Basics
🔹 01:40 • Control Types for AI Models
🔸 02:20 • Risk-Based Control Design
🔹 03:01 • Examples in AI Context
🔸 03:48 • Defining Control Effectiveness
🔹 04:26 • Metrics and Targets
🔸 05:09 • Executive Takeaways

Master executive vocabulary for risk controls and learn how to describe risk‑based controls for AI models—plus how to define and measure control effectiveness. Perfect for leaders and teams aligning AI with policy, law, and trust standards.

In this micro-lesson, you’ll learn:
- Why risk controls matter for scalable, trustworthy AI deployment
- Core terms: risk = likelihood × impact, inherent vs. residual risk, and what a control is
- Control types: preventive, detective, and corrective—how they work together
- Risk-based design: mapping controls to top risks, right-sizing by risk level, and layering for defense-in-depth
- Concrete AI examples: PII protection, bias testing, drift monitoring, rollbacks, and playbooks
- Measuring control effectiveness: design vs. operating effectiveness, with evidence (logs, samples, metrics)
- Metrics that matter: leading and lagging indicators, targets, and tolerance ranges

For a complete lesson with more examples and interactive exercises, visit:
🔗 https://language.foundation/Executive-Vocabulary-for-Risk-Controls-how-to-describe-risk-based-controls-for-AI-models-and-define-control-effectiveness

#LearnEnglish #EnglishForWork #AIGovernance #RiskManagement #how to describe risk‑based controls for AI models

Susan Miller (October 25, 2025): This lesson was developed with the assistance of advanced AI tools and has been thoroughly reviewed by our editorial team to ensure accuracy, clarity, and educational value.

Видео Executive Vocabulary: Risk‑Based Controls for AI Models канала English Mastery with Language.Foundation