Free Isaca AAISM Actual Exam Questions - Question 5 Discussion

Option B makes more sense since misleading info directly harms trust and decisions.

Probably B. While bias is a big deal, the core ethical issue might be how generative AI can spread false or misleading info, messing with trust and decision-making.

Bias directly affects fairness and ethical use, so I’m with A.

It’s A for me. Bias in generative AI can lead to unfair treatment of certain groups or reinforce harmful stereotypes, which feels more directly tied to ethics than just info integrity. While misinformation is definitely an issue, it often stems from biased or faulty data in the first place. So tackling bias seems like the foundational ethical challenge here. D and C don’t seem as central since confidentiality and availability often depend on external controls, not the AI itself.

A/D? I’m putting D aside since confidentiality usually depends on how the AI is used, not the AI itself. Between A and B, bias feels more like a root ethical problem—if the AI’s outputs are biased, it can cause unfair outcomes and discrimination, which is a major concern. Information integrity (B) covers false info, but that might be more about reliability than ethics directly. So, A seems like the core ethical issue since it shapes fairness and trust in a fundamental way.

A/B? Bias is a big ethical deal since it affects fairness, but misinformation (B) messes with trust on a wider scale. Both seem strong depending on how you read “primary.”

B imo, because while bias is a problem, the bigger ethical hit is when AI spreads false or misleading info, messing with trust and decision-making.

A/B? Bias feels more about ethics, info integrity about accuracy.

I think B makes the most sense here—generative AI can mess with info accuracy, causing integrity issues. Bias is a problem too, but that seems more like a subset of info integrity. What do you guys think?