"Bias is the systematic difference in treatment of certain objects, people or groups in comparison to others."
It also discusses:
"Sample bias can occur if the data used for training the model does not represent the operational environment, or if some relevant faulty conditions are excluded deliberately."
(Reference: ISTQB CT-AI Syllabus v1.0, Section 7.6 and 8.3)
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