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PECB ISO-IEC-42001-Lead-Auditor Exam - Topic 1 Question 15 Discussion

Posted by Stephaine on May 17, 2026 at 09:11 AM

A financial institution uses an AI system to approve loan applications. Recently, there have been complaints that the system disproportionately denies loans to applicants from certain minority groups. Which core element should the institution prioritize to address these complaints?

Suggested Answer: A

The most relevant core principle here is Fairness and Non-Discrimination. This principle aims to ensure that AI systems do not create or perpetuate bias, especially in high-stakes decision-making areas such as financial services.

According to ISO/IEC 42001:2023 -- Clause 6.1.2 and Annex A (A.8.2.4), organizations must evaluate and manage risks related to bias, discrimination, and ethical implications of AI decisions.

In the PECB Lead Auditor Guide, Fairness is cited as critical in sectors like finance, hiring, healthcare, and where decisions may adversely impact protected groups.


PECB Lead Auditor Guide -- Domain 1: ''Core Principles of Trustworthy AI''

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22 comments · newest first
DA
Dawne 2 days ago
Definitely. Fairness should come first to ensure equal treatment.
JO
Joana 7 days ago
I think fairness is key. Discrimination is a big issue.
AL
Alex 12 days ago
Privacy is crucial too, but not as urgent as addressing bias in loans.
LU
Lura 17 days ago
Fairness and non-discrimination should be prioritized. It's a moral obligation.
BR
Brent 23 days ago
I agree, but without accountability, fairness won't matter.
BE
Bernardo 28 days ago
Transparency is also important. People need to understand the decisions.
LE
Leoma 1 month ago
Definitely. Fairness should come first to ensure equal treatment.
HI
Hildred 1 month ago
I think fairness is key. Discrimination is a big issue.
LY
Lyla 1 month ago
I agree with A, but we also need to consider D) Privacy and Security.
ER
Erick 2 months ago
Wait, are we sure the AI is really biased? Sounds fishy.
TW
Twana 2 months ago
C) Accountability should be the top priority here.
RE
Reiko 2 months ago
I think B) Transparency and Explainability is just as important.
EL
Ellsworth 2 months ago
Definitely A) Fairness and Non-Discrimination. It's crucial!
GE
Geraldo 2 months ago
Not sure if fairness alone will fix the problem.
MI
Michael 2 months ago
Wait, are we really surprised this is happening?
AS
Ashanti 3 months ago
C) Accountability should be the top priority here.
ST
Stevie 3 months ago
I think B) Transparency and Explainability is just as important.
RU
Ruth 3 months ago
Definitely A) Fairness and Non-Discrimination. It's crucial!
AL
Alesia 3 months ago
Privacy and security are important, but in this context, I think addressing fairness should come first. We can't ignore the impact on those communities.
PE
Pedro 3 months ago
I feel like accountability is crucial too, especially if the institution needs to take responsibility for the AI's decisions. It seems like a similar question came up in our practice exams.
MA
Mariann 4 months ago
I'm not entirely sure, but I remember we discussed transparency and explainability in relation to AI decisions. It might help applicants understand why they were denied.
BE
Ben 5 months ago
I think fairness and non-discrimination is the most important here. We studied a case where bias in AI led to similar issues.
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