IAPP Artificial Intelligence Governance Professional (AIGP) — Question 11

Which of the following considerations is the most important in mitigating the potential of bias in training and testing data?

Answer options

Correct answer: B

Explanation

The correct answer, B, highlights the necessity of ensuring that the data is representative of the population to avoid bias in model training. Options A, C, and D, while important for data protection and ethical considerations, do not directly address the core issue of data representation, which is crucial for minimizing bias.