AWS Certified AI PractitionerResponsible AIEasy
An e-commerce company uses an AI system to personalize product recommendations. A customer complains that they are repeatedly shown products that are irrelevant to their preferences and wonders why certain items are recommended. Which Responsible AI concept is most directly being violated here?
- AAI Transparency
- BAI Accountability
- CAI Privacy
- DAI Robustness
Show answer & explanationAnswer & explanation
Correct answer: A. AI Transparency
The customer's complaint about irrelevant recommendations and their inability to understand 'why' certain items are shown directly relates to a lack of AI Transparency. Transparency involves making the AI's decision-making process understandable to users.
Why the other options are wrong
- B. AI Accountability refers to assigning responsibility for AI outcomes, which is broader than explaining specific recommendations.
- C. AI Privacy is about protecting personal data, not explaining recommendations.
- D. AI Robustness concerns the system's resilience to errors or attacks, not its understandability.
AI Transparency
AI Transparency refers to the ability to understand how an AI system works, its decision-making processes, and the factors influencing its outputs.
- Aids in user trust and acceptance.
- Involves explainability and interpretability.
- Crucial for identifying and mitigating biases.
Memory trick: Transparency is like a clear window into how the AI thinks.