ISO 10161:2014 Information and documentation -- Open Systems Interconnection Quiz 02 24Mar25 - Practice Quiz

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A global financial institution, \"CrediCorp,\" is implementing an AI-driven fraud detection system across its international branches. The system is designed to analyze transaction data in real-time to identify and flag potentially fraudulent activities. CrediCorp aims to align this implementation with ISO 42001:2023 standards. During the initial deployment phase, inconsistencies in data formats and quality are discovered across different branches due to varying legacy systems and regional data collection practices. Furthermore, a preliminary assessment reveals that certain datasets used for training the AI model contain historical biases reflecting past discriminatory lending practices. To ensure compliance with ISO 42001 and mitigate potential risks, which of the following actions should CrediCorp prioritize as part of their AI lifecycle management and data governance framework?

Implement a comprehensive data lineage tracking system, conduct thorough impact assessments of the datasets, and establish continuous monitoring protocols for data quality, while also ensuring compliance with relevant data privacy regulations like GDPR.

Proceed with the deployment using the existing datasets to avoid delays, and address data quality issues and biases in subsequent iterations of the AI model based on user feedback and incident reports.

Focus primarily on standardizing data formats across all branches, and defer the assessment of data biases and ethical considerations to a later phase of the project to expedite the initial rollout.

Rely solely on the AI system's internal algorithms to automatically detect and correct data quality issues and biases, without implementing additional data governance measures or impact assessments.

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