It's sightly incorrect to say that the data is biased in the example given here. The data is accurate and produces a correct answer with whatever statistical analysis you choose to run on it. It is better to say that the data reflects an underlying bias (prejudice in average sentences in the case described).
It is nice to keep emphasising that this sort of data processing has nothing to do with intelligence, other than the intelligence of people working out how to do the analysis. It is also far from new, the insurance industry for example being entirely based on the abiity to use statistical analysis to calculate risk depending on a combination of facts - that industry needs to be as "biased" as possible in order to maximise profits.