Fair principles refer to the ethical guidelines that ensure data science practices are equitable, transparent, and accountable. These principles are vital for promoting justice in data collection, analysis, and usage, especially as they relate to algorithms and machine learning models that can perpetuate biases or discrimination against certain groups.
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