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While this may sound logical in the abstract — send cops to where crime happens — the algorithm relies on a deeply biased data set derived from a long history of targeting poor communities of color.
However, based on Uttl's [2] analysis of McDaniel and Einstein Table 7.4, we can conclude that even this biased data set selected by McDaniel and Einstein themselves strongly contradicts their claims that prospective memory with focal cues is spared by aging, and that it is not "automatic", "reflexive", or "obligatory".
This will obviously not remove bias completely, but it is a reasonable first step towards a less biased data set.
Deleting all cases with missing data would not only significantly reduce the sample size but also lead to a potentially biased data set and result in the loss of potentially valuable information [ 31].
Following the criteria for using the Poisson distribution [ 21], tissues with insufficient ESTs (N1 or N2 < 1000) and clusters with a biased data set (x ≥ N1 × 5% or y ≥ N2 × 5%) were excluded from the statistical test.
Assuming that the actual distribution of the missing observations was somewhere in between, Fig. 2 indicates that the present drop-out did not result in a biased data set.
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A biased world can result in biased data sets and, in turn, bias artificial intelligence frameworks.
As John Mannes writes, "A biased world can result in biased data sets and, in turn, bias artificial intelligence frameworks".
This inaccuracy can be due to many factors including artifacts (e.g., bad alignments), biased data sets (e.g., convergent evolution or highly variable rates of evolution between taxa), or lateral gene transfer (which could cause even a perfectly inferred rRNA tree to be different from the general phylogeny of the organism).
Thus a small number of biased data sets may alter the global pattern of biplots in a principal components or coordinates analysis.
High accuracy that's not generated off of a biased data-set cannot just be a 'nice to have' if your AI is involved in making legal judgment calls on people.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com