**Bias** is neither a good nor bad thing itself, but rather an abstract intrinsic property of many datasets and models.  This data can include anything from quantitative databases and statistics, to the internal ideas people and cultures use to form opinions, heuristics, and behaviors.  

Benefit may come from proper identifying, understanding, and compensating for biases.  Likewise, harm can come from ignorance, misunderstanding, or misuse of biases. 

Bias can be found in and handled differently by many disciplines.  Is there a specific kind of bias you are concerned with?  Or would you like to know more about bias in general?
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