What is the primary goal of fairness in data science?, Increase model complexity, Ensure equitable treatment in decisions, Improve processing speed, Reduce storage requirements, Which type of bias occurs when the dataset does not represent the target population?, Historical Bias, Sampling Bias, Confirmation Bias, Automation Bias, Historical bias originates from:, Programming errors, Hardware limitations, Past decisions and existing societal inequalities, Cloud storage failures, Which practice best helps reduce bias?, Using more complex algorithms only, Ignoring demographic differences, Using representative datasets and regularly evaluating models, Collecting as much data as possible

Data_L3_S19_T2

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