AWS Certified AI PractitionerResponsible AIMedium
An e-commerce company uses an AI system to personalize product recommendations. A customer complains that they are consistently shown products completely unrelated to their browsing history or past purchases. The company wants to understand why the AI made these specific recommendations for this customer. Which Responsible AI concept are they trying to implement?
- APrivacy
- BAccountability
- CTransparency
- DSecurity
Show answer & explanationAnswer & explanation
Correct answer: C. Transparency
The company's desire to understand 'why' the AI made specific recommendations directly relates to transparency, which involves making AI system operations and decisions understandable.
Why the other options are wrong
- A. Privacy deals with protecting personal data, not explaining model behavior.
- B. Accountability focuses on who is responsible for AI outcomes, not necessarily the 'why' behind individual decisions.
- D. Security protects the AI system from attacks or unauthorized access, not its internal logic.
AI Transparency
AI transparency refers to the ability to understand how an AI system works, including its data, algorithms, and decision-making processes.
- Aids in debugging and trust.
- Different levels: model, data, and process.
- Often linked to interpretability and explainability.
Memory trick: See-Through AI for Trust