CompTIA SecurityX (CAS-005)Governance, Risk and ComplianceMedium
A large e-commerce company is implementing a new AI-powered recommendation engine. During the development and testing phases, the data science team discovers that the engine consistently recommends higher-priced items to users in certain postal codes, regardless of their stated preferences or browsing history, potentially leading to unfair pricing for specific demographic groups. Which ethical concern related to AI is MOST directly highlighted by this discovery?
- AAI Accountability
- BAI Transparency
- CAI Privacy
- DAI Fairness
Show answer & explanationAnswer & explanation
Correct answer: D. AI Fairness
The scenario describes an AI system exhibiting algorithmic bias, where certain demographic groups (inferred by postal codes) receive different, potentially disadvantageous, treatment (higher-priced recommendations). This directly relates to AI Fairness, which aims to ensure AI systems provide equitable outcomes and do not discriminate or perpetuate bias.
Why the other options are wrong
- A. AI Accountability deals with assigning responsibility for AI outcomes, not the inherent bias discovered within the system.
- B. AI Transparency relates to explaining how the AI makes decisions, not necessarily the bias in the outcome itself.
- C. AI Privacy concerns the protection of personal data, which is not the primary issue here, although related to data usage.
AI Fairness
The principle that AI systems should produce equitable outcomes and not discriminate against specific groups or perpetuate societal biases.
- Involves identifying and mitigating algorithmic bias.
- Crucial for ethical and trustworthy AI systems.
- Ensures AI benefits all users equally.
Memory trick: Fairness ensures AI plays nice with everyone.