CompTIA SecurityX (CAS-005)Governance, Risk and ComplianceMedium
An organization is considering implementing a new AI-powered anomaly detection system for its network. Before full deployment, the CISO wants to ensure that the system's decision-making process is transparent, explainable, and free from unfair biases, especially since it will be used to flag potential insider threats. Which aspect of AI governance is the CISO primarily focused on addressing?
- AAI Ethics and Fairness
- BAI Model Robustness
- CAI System Performance
- DAI Data Privacy
Show answer & explanationAnswer & explanation
Correct answer: A. AI Ethics and Fairness
The CISO's concern for transparency, explainability, and freedom from unfair biases directly relates to the ethical implications of AI. Ensuring AI systems operate fairly and can justify their decisions is a core component of AI ethics and fairness within AI governance, particularly when dealing with sensitive applications like insider threat detection.
Why the other options are wrong
- B. AI model robustness relates to the system's ability to resist adversarial attacks or unexpected inputs without failing.
- C. AI system performance refers to its accuracy, efficiency, and speed, which is important but not the primary focus of the CISO's stated concerns.
- D. AI data privacy focuses on how the AI system handles and protects personal or sensitive data, which is a related but distinct concern.
AI Ethics and Fairness
A critical aspect of AI governance focused on ensuring AI systems are developed and used responsibly, without perpetuating biases, discriminating against groups, or making decisions that are opaque or unjust.
- Addresses bias, discrimination, transparency, and accountability.
- Crucial for sensitive applications (e.g., hiring, law enforcement).
- Aims to build trust and ensure societal benefit.
Memory trick: E-R-P-S: Ethics, Robustness, Privacy, Security.