AWS Certified AI PractitionerResponsible AIEasy
An e-commerce company uses an AI system to personalize product recommendations. Customers have reported that the recommendations sometimes feel repetitive or do not align with their current interests despite recent purchases. To improve the user experience and maintain trust, the company wants to allow customers to understand why a particular product was recommended. Which Responsible AI concept is the company trying to implement?
- AHuman-in-the-Loop (HITL)
- BAI transparency
- CAI robustness
- DAI privacy
Show answer & explanationAnswer & explanation
Correct answer: B. AI transparency
Allowing customers to understand 'why' a product was recommended directly relates to AI transparency, which aims to make AI decisions understandable.
Why the other options are wrong
- A. HITL involves human oversight or intervention, which is different from explaining past decisions.
- C. AI robustness focuses on system stability and security, not user understanding.
- D. AI privacy is about data protection, not explaining recommendations.
AI Transparency
AI transparency refers to the ability to understand how an AI system works, including its decision-making processes, data sources, and potential biases.
- Enhances trust and accountability.
- Can involve explainable AI (XAI) techniques.
- Helps users understand 'why' a decision was made.
Memory trick: See through the AI's mind.