The correct answer is to retrain the model with a more representative dataset that includes diverse language backgrounds. This is the most appropriate course of action because the bias stems directly from unrepresentative training data; bias mitigation by retraining with representative data addresses the root cause by ensuring the model learns from a balanced distribution of patient demographics, including non-native English speakers. On the CompTIA AI+ AI0-001 exam, this scenario tests your understanding of the AI ethics principle of fairness and the practical step of data-level bias correction. A common trap is choosing a post-hoc explanation method, which only describes bias without fixing it, or reducing sample size, which can amplify disparities. Remember the memory tip: “Fix the data, not the output”—if the training set is skewed, retraining with balanced, representative data is the only ethical and effective remedy.
AI0-001 AI Security, Ethics and Governance Practice Question
This AI0-001 practice question tests your understanding of ai security, ethics and governance. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A healthcare startup deploys an AI model to predict patient readmission rates. An internal audit reveals that the model consistently underestimates readmission risk for non-native English speakers. According to AI ethics principles, what is the most appropriate course of action?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Retrain the model with a more representative dataset that includes diverse language backgrounds
Option C is correct because the issue stems from biased training data; retraining with balanced data and including diverse patient data can reduce bias. Option A is wrong as ignoring the issue is unethical and may violate regulations. Option B is wrong because post-hoc explanations do not fix the underlying bias. Option D is wrong because reducing sample size may worsen bias.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Add a confidence score disclaimer to model outputs
Why it's wrong here
Explanation alone does not correct the bias; the model needs retraining.
✗
Reduce the sample size of non-native English speakers to balance the dataset
Why it's wrong here
Reducing data can increase bias and reduce model performance.
✗
Continue using the model as is, since overall accuracy is acceptable
Why it's wrong here
Ignoring biased outcomes is unethical and could lead to disparate impact.
✓
Retrain the model with a more representative dataset that includes diverse language backgrounds
Why this is correct
Retraining with balanced data addresses the root cause of bias.
Related concept
Static NAT maps one inside address to one outside address.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI0-001 NAT questions on configuration and troubleshooting.
AI Security, Ethics and Governance — This question tests AI Security, Ethics and Governance — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Retrain the model with a more representative dataset that includes diverse language backgrounds — Option C is correct because the issue stems from biased training data; retraining with balanced data and including diverse patient data can reduce bias. Option A is wrong as ignoring the issue is unethical and may violate regulations. Option B is wrong because post-hoc explanations do not fix the underlying bias. Option D is wrong because reducing sample size may worsen bias.
What should I do if I get this AI0-001 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI0-001 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Question Discussion
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