Humanist Discussion Group, Vol. 37, No. 57.
        Department of Digital Humanities, University of Cologne
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        Date: 2023-05-31 02:11:31+00:00
        From: Robin Burke <Robin.Burke@Colorado.EDU>
        Subject: Re: [Humanist] Digest

Dear Willard,

I can recommend the following books for a big picture on this question:

- D'Ignazio, Catherine, and Lauren F. Klein. Data feminism. MIT Press, 2020.
- Eubanks, Virginia. Automating inequality: How high-tech tools profile, police,
and punish the poor. St. Martin's Press, 2018.
- Noble, Safiya Umoja. Algorithms of oppression. New York University Press,
2018.
- O'Neil, Cathy. Weapons of math destruction: How big data increases inequality
and threatens democracy. Crown, 2017.

There are many more individual studies. The 2021 study below has a systematic
literature review of the algorithmic audit area, which aims to uncover these
kinds of issues:

Bandy, Jack. "Problematic machine behavior: A systematic literature review of
algorithm audits." Proceedings of the ACM on Human-Computer Interaction 5. CSCW1
(2021): 1-34.

Yours,

Robin

—————————————————————————————
Robin Burke (he/his), Professor, Chair
Department of Information Science
Department of Computer Science (by courtesy)
University of Colorado, Boulder
robin.burke@colorado.edu <mailto:robin.burke@colorado.edu>
I may send email outside of working hours; I do not expect you to.

On 5/28/23, 7:00 PM, "Humanist" <humanist@dhhumanist.org
<mailto:humanist@dhhumanist.org>> wrote:

Date: 2023-05-28 05:39:21+00:00
From: Willard McCarty <willard.mccarty@mccarty.org.uk
<mailto:willard.mccarty@mccarty.org.uk>>
Subject: algorithmic prejudice

A recommendation or two, if you would: for a reliable study of
preferences built into algorithms, with emphasis on those we regard as
socially problematic, even dangerous, unjust, wrong.

Many thanks.

Yours,
WM
--
Willard McCarty,
Professor emeritus, King's College London;
Editor, Interdisciplinary Science Reviews; Humanist
www.mccarty.org.uk


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