CompTIA · SecAI+ CY0-001
Responsible AI and AI risks
SecAI+ CY0-001 · Lesson 17 of 18 · 2:15:48
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In this lesson
Prepare for the CompTIA SecAI+ CY0-001 exam. In this lesson: the principles of responsible AI (fairness, reliability and safety, transparency, privacy and security with differential privacy, explainability, inclusiveness, accountability, consistency, and awareness training), and the main AI risks: bias, data leakage, reputational loss, model accuracy, intellectual property, autonomous systems, shadow IT, and shadow AI, with Fernhill Telecom as the running example. Includes three original practice questions.
Preview the topics
- Fernhill publishes how many customers in each region use each plan, and adds calibrated random noise, so that no single customer’s presence can be detected. Which technique is this?
- Fernhill’s network logs show that two hundred employees send data every day to an AI writing service that no one ever approved. What is this?
- A customer is refused a payment plan by Fernhill’s credit model, and asks why. Which principle requires that Fernhill can show the main factors behind the decision?