IAPP · AIGP
Principles of responsible AI
AIGP · Lesson 2 of 15 · 10:29
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In this lesson
Prepare for the IAPP AIGP exam, on the AIGP Body of Knowledge version 2.1. In this lesson: the principles of responsible AI: fairness tested across groups, safe, reliable, and robust systems, privacy and security across the life cycle, transparency versus explainability, accountability, and human-centricity, and how to decide trade-offs between principles. Includes three original practice questions, with Elmstead Group, a fictional retail and finance group, as the example.
Preview the topics
- Elmstead’s credit model approves 60% of applicants under 30, and 80% of older applicants with similar finances. Which principle is most at risk?
- Elmstead’s chatbot answers customers in a friendly, human style, and never tells them that they are talking to an AI. Which principle does this break first?
- A model that screens job applications rejects a candidate. Nobody can say who is responsible for the model, and the candidate cannot ask for a review. Which principle is missing?