I think this avenue of research is good. and I don't want to detract from
it. but I figured I should mention that written speech and interaction
carries a lot of information that lends itself to unconscious bias too

e.g., command of English, dialect, register, tone, mitigated speech (i.e.
directness), aggression, confidence, politeness, verbosity, gendered and
racialized speech, discussion styles, etc, etc. I'm sure there's more!

On Wed, 22 May 2019 at 08:08, Patricia Shanahan <p...@acm.org> wrote:

> Thanks for the links. The key point I need to document is that the
> information available through our e-mail channels is quite sufficient
> for there to be unconscious bias.
>
> On 5/21/2019 7:39 PM, Justin Mclean wrote:
> > Hi,
> >
> > BTW the conclusions may not be what you expect:
> >
> > "Our results show that women’s pull requests tend to be accepted more
> often than men’s, yet women’s acceptance rates are higher only when they
> are not identifiable as women. In the context of existing theories of
> gender in the workplace, plausible explanations include the presence of
> gender bias in open source, survivorship and self-selection bias, and women
> being held to higher performance standards.”
> >
> > But there's a lot more detail in there as well. One on teh links lead me
> to this:
> >
> > https://rework.withgoogle.com/guides/?subject=5664248772427776
> >
> > Which include this workshop on unconscious bias
> >
> https://rework.withgoogle.com/guides/unbiasing-raise-awareness/steps/introduction/
> >
> > And tools to run your own workshop.
> >
> > Thanks,
> > Justin
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