CompTIA SecurityX (CAS-005)Governance, Risk and ComplianceEasy
A large e-commerce company is developing a new AI-powered recommendation engine. During the design phase, the data science team raises concerns that the training data, primarily based on historical purchasing patterns, might inadvertently perpetuate existing biases against certain demographic groups. Which AI governance principle is most directly being challenged?
- AData Privacy and Security
- BAccountability and Transparency
- CFairness and Non-discrimination
- DRobustness and Reliability
Show answer & explanationAnswer & explanation
Correct answer: C. Fairness and Non-discrimination
The concern about historical purchasing patterns perpetuating biases against demographic groups directly relates to the AI governance principle of Fairness and Non-discrimination, ensuring AI systems do not produce unjust or discriminatory outcomes.
Why the other options are wrong
- A. Data Privacy and Security focus on protecting personal information, which is a separate concern from algorithmic bias.
- B. Accountability and Transparency relate to understanding how AI makes decisions and who is responsible, not directly to bias in training data.
- D. Robustness and Reliability concern the AI system's performance under various conditions and its resistance to attacks, not its inherent societal biases.
AI Fairness
Ensuring that AI systems do not produce unjust, discriminatory, or biased outcomes against certain individuals or groups.
- Often related to biased training data.
- Requires careful data collection and model evaluation.
- Critical for ethical AI deployment.
Memory trick: AI should be fair, not just smart.