ISO 42001:2023 Artificial Intelligence Management System Quiz 01 13Jul25 - Practice Quiz

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Question 1 of 30

Consider an organization developing an AI-driven system to provide personalized financial planning advice. During the AI system\'s lifecycle, a significant concern arises regarding the potential for the AI to perpetuate or amplify historical biases present in financial data, leading to inequitable advice for certain demographic groups. Which of the following approaches most effectively addresses this challenge in alignment with ISO 42001:2023 principles for AI management?

Implementing a comprehensive risk assessment to identify potential data and algorithmic biases, coupled with targeted training for AI development personnel on fairness metrics, bias mitigation techniques, and relevant financial regulations.

Relying solely on post-deployment monitoring to detect and rectify any discriminatory outcomes, assuming the initial data used for training was adequately anonymized.

Prioritizing the acquisition of the latest AI hardware and software, believing that advanced technology inherently resolves ethical concerns related to data bias.

Conducting a one-time ethical review of the AI's output before its initial launch, without ongoing mechanisms for adaptation or continuous learning about emerging biases.

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