Google Cloud · Generative AI Leader
Responsible AI
Generative AI Leader · Lesson 14 of 14 · 1:56:07
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In this lesson
Prepare for the Google Cloud Generative AI Leader exam. In this lesson: responsible AI across the whole lifecycle and transparency, privacy risks and how anonymization and pseudonymization reduce them, with Sensitive Data Protection, the effects of data quality and bias on fairness, and accountability and explainability. Includes three original practice questions.
Preview the topics
- Cymbal Retail wants to analyze purchase histories without exposing customer names, but its fraud team must be able to link a record back to the customer when needed, with a key kept by the security team. Which technique fits?
- A customer asks why Cymbal Retail’s AI declined a request for a refund exception, and the team must describe the factors behind that decision. Which practice does this require?
- Cymbal Retail tests an assistant that screens job applications, and finds that it rates candidates from one region lower, because its training data came mostly from another region. What is at the root of this?