An organization is evaluating a number of Machine Learning (ML) solutions to help automate a customer-facing part of its business. From a privacy perspective the organization should first?
A.
Define their goals for fairness
B.
Document the distribution of bias scores
C.
Document the False Positive Rates (FPR)
D.
Define how data subjects may object to the processing
The correct answer is **D. Define how data subjects may object to the processing**.
From a privacy perspective, before implementing machine learning solutions, it's crucial to ensure that data subjects are informed about the processing of their personal data and are provided with a mechanism to object to such processing if they wish. This aligns with privacy rights, such as those under the GDPR, which require transparency and give individuals the right to challenge or opt out of automated decision-making processes that affect them. Defining these procedures ensures that the organization's use of ML respects individual privacy rights.
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Ssourav
3 months, 2 weeks ago