Non-Fiction
An expansive vision for data equality that goes beyond algorithmic fairness.
When we gave algorithms power over our world, we hoped that the apparent neutrality of machine thinking would create a more egalitarian age. Yet we are more divided than ever, staring down threats to democracy itself. In Data Equals, Colin Koopman argues that data technologies fail us so often because we built them around a deficient notion of equality.
It is not enough, Koopman explains, that algorithms engage everyone's data with the same measuring stick. The data themselves are all too often structured in ways that obscure and exacerbate stratifying distinctions. Koopman contends that we must also work to ensure that those people subject to computational assessment enter data systems on equal terms. Part philosophical argument, part practical guide (replete with case studies from education technology), Data Equals offers novel methods for realizing democratic equality in a digital age.
© 2025 The University of Chicago Press (Ebook): 9780226842264
Release date
Ebook: 16 September 2025
Over 950 000 titles
Kids Mode (child safe environment)
Download books for offline access
Cancel anytime
For those who want to listen and read without limits.
S$12.98 /month
Unlimited listening
Cancel anytime
For those who want to listen and read without limits.
S$69 /6 months
Unlimited listening
Cancel anytime
For those who want to listen and read without limits.
S$119 /year
Unlimited listening
Cancel anytime
For those who want to share stories with family and friends.
Starting at S$14.90 /month
Unlimited listening
Cancel anytime
S$14.90 /month