[Air-L] Any sociological or STS research on machine learning?

[Josh Scannell]

I agree with this ^

On Sat, Jan 13, 2018 at 2:52 PM Dan L. Burk <dburk at uci.edu> wrote:

> Dr. Burrell is being very modest here -- her recommendations are all
> great stuff of course, but her piece is really required reading --
> extraordinarily thoughtful and useful.
>
> Cheers, DLB
>
> --
>
> Dan L. Burk
> Chancellor's Professor of Law
> University of California, Irvine
> ++++++++++++++++++++++++++++++++
> 2017-18 Fulbright Cybersecurity Scholar
>
> On 2018-01-12 09:25, Jenna Burrell wrote:
>
> > Hi Stephen and AIR-L,
> >
> > Yes, there's a lot of work by sociologists and STS researchers on machine
> > learning, including books published in the last year or about to come
> out...
> >
> > Virginia Eubanks book *Automating Inequality: How High-Tech Tools
> Profile,
> > Punish and Police the Poor* is about to come out. I believe it's an
> > ethnography and that it deals, at least in part, with applications of
> > machine learning (in areas like predictive policing).
> >
> > There's a new book out by STS scholar Adrien Mackenzie *Machine
> Learners* -
> > https://mitpress.mit.edu/books/machine-learners
> >
> > Also look at what Nick Seaver has written. He has an ethnography coming
> out
> > on music recommendation systems/algorithms (http://nickseaver.net/)
> >
> > Malte Ziewitz did an ethnography of the search engine optimization
> industry
> > and has done lots of work in this space - http://zwtz.org/
> >
> > Marion Foucade has a deeply sociological read on this topic and has
> written
> > a great piece about the "mechanisms" that produce "classification
> > situations" which are consequential to life circumstances (she doesn't
> use
> > the phrase machine learning, but certainly ML compose some of the
> > underlying 'mechanisms' she is concerned with) - http://www.
> > sciencedirect.com/science/article/pii/S0361368213000743
> >
> > I've also written something in this space: "How the machine 'thinks':
> > Understanding opacity in machine learning algorithms"
> > http://journals.sagepub.com/doi/abs/10.1177/2053951715622512 - I'm a
> > sociologist and an ethnographer, though this particular piece isn't
> > ethnographic.
> >
> > This list just scratches the surface ... there's just so much work coming
> > out in this space so I'll just offer some names of other people to look
> > into: Solon Barocas, Karen Levy, Kate Crawford, Christian Sandvig,
> Tarleton
> > Gillespie, Angele Christen, Mike Ananny, Nick Diakopolous, Luke Stark.
> Plus
> > lots of people doing work in this space at Data & Society (
> > https://datasociety.net/).
> >
> > Jenna Burrell
> > Associate Professor
> > School of Information
> > UC-Berkeley
> >
> > On Fri, Jan 12, 2018 at 8:29 AM, Yosem Companys <ycompanys at gmail.com>
> wrote:
> >
> >> From: Stephen Paff <stephen.paff at gmail.com>
> >>
> >> Hello everyone,
> >>
> >> I am conducting research into the anthropology of machine learning. Does
> >> anyone know of ethnographies of the development, implementation, and/or
> use
> >> of machine learning algorithms? Are there any sociologists, STS
> >> researchers, or scholars from other related fields studying machine
> >> learning whose work I should look into as well?
> >>
> >> Sincerely,
> >> Stephen Paff
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