CompTIA SecurityX (CAS-005)Governance, Risk and ComplianceHard
A hospital is deploying a new AI-powered diagnostic tool that uses patient medical images to detect early signs of disease. The Chief Medical Officer (CMO) is concerned about the potential for algorithmic bias, particularly if the training data disproportionately represents certain demographics, leading to inaccurate diagnoses for underrepresented groups. Which aspect of AI governance is the CMO primarily concerned about?
- AAI Fairness
- BAI Accountability
- CAI Robustness
- DAI Transparency
Show answer & explanationAnswer & explanation
Correct answer: A. AI Fairness
AI Fairness refers to the principle that AI systems should produce equitable outcomes across different demographic groups and not perpetuate or amplify existing societal biases. The CMO's concern about disproportionate representation in training data leading to inaccurate diagnoses for underrepresented groups directly relates to ensuring the AI system is fair.
Why the other options are wrong
- B. AI Accountability deals with assigning responsibility for AI system outcomes, not the inherent bias in the system itself.
- C. AI Robustness concerns an AI system's ability to maintain performance under varied conditions or against adversarial attacks, not algorithmic bias.
- D. AI Transparency focuses on understanding how an AI system arrives at its decisions, not directly on bias in outcomes.
AI Fairness
The principle that AI systems should produce equitable outcomes and not discriminate against specific groups.
- Aims to prevent algorithmic bias.
- Requires diverse and representative training data.
- Crucial for ethical AI deployment, especially in sensitive areas like healthcare.
Memory trick: Fair AI is for all, not just a few.