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AAIA · Question #95

A healthcare organization uses patient data to train an AI model for early disease detection. Which of the following practices provides the BEST assurance that personal data is secure and its…

The correct answer is D. Anonymizing patient data and performing regular quality checks. Anonymizing patient data protects personal privacy and security by removing identifiable information, significantly reducing exposure risk even if a breach occurs. Regular quality checks maintain data integrity by ensuring the dataset remains accurate, consistent, and…

AI Risk Management and Controls

Question

A healthcare organization uses patient data to train an AI model for early disease detection. Which of the following practices provides the BEST assurance that personal data is secure and its integrity is maintained?

Options

  • AEncrypting stored data to reduce exposure and log access
  • BUpdating the AI model with new data and tracking changes
  • CImplementing strict data access controls and conducting security tests
  • DAnonymizing patient data and performing regular quality checks

How the community answered

(19 responses)
  • A
    21% (4)
  • B
    5% (1)
  • C
    5% (1)
  • D
    68% (13)

Explanation

Anonymizing patient data protects personal privacy and security by removing identifiable information, significantly reducing exposure risk even if a breach occurs. Regular quality checks maintain data integrity by ensuring the dataset remains accurate, consistent, and unaltered. This dual approach simultaneously addresses both security (anonymization) and integrity (quality checks). Option A (encryption) focuses primarily on security but not integrity. Option C (access controls and security tests) addresses security but not the integrity of the data itself. Option B (model updates and change tracking) relates to model governance, not personal data security and integrity.

Topics

#Data Privacy#Data Anonymization#Data Integrity#AI Data Governance

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