AI0-001 AI Governance and Ethics Practice Question
A data scientist is training a resume screening model to rank job applicants. The training data includes historical hiring decisions from the past 10 years. The company wants to avoid unfair bias against underrepresented groups. Which type of bias is most likely present in the training data?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Historical bias
Historical bias occurs when the training data reflects past societal biases, such as underrepresentation of certain groups in hiring. The model learns these patterns, perpetuating unfairness. Selection bias arises from non-random sampling, confirmation bias from favoring information that confirms preexisting beliefs, and algorithmic bias from model design choices.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Algorithmic bias
Why it's wrong here
Algorithmic bias arises from model design or feature selection, not from the training data itself.
- ✗
Selection bias
Why it's wrong here
Selection bias occurs when the data is not representative of the population, but the issue here is that past hiring decisions themselves were biased.
- ✗
Confirmation bias
Why it's wrong here
Confirmation bias is a cognitive bias where people favor information that confirms their beliefs, not a data bias from historical decisions.
- ✓
Historical bias
Why this is correct
Historical bias is present when the training data reflects existing societal inequalities, such as discriminatory hiring practices.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.