Data Equals : Democratic Equality and Technological Hierarchy.

Format:

Book

Author/Creator:

Koopman, Colin.

Language:

English

Physical Description:

1 online resource (320 pages)

Edition:

1st ed.

Place of Publication:

Chicago : University of Chicago Press, 2025.

Summary:

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.

Contents:

Introduction. Reconstructing democratic equality in data technology from paper records to artificial intelligence

Data hierarchy, technological neutrality, and algorithmic fairness : some obstacles

Data equality in social structure : an opening

Structural equality : a pragmatist account of democratic equality

A conceptual anatomy of equal treatment: equitable entry + fair processing

Structural data : formats + algorithms

Format anatomies : a methodology for dissecting data

Artificial intelligence for personalized learning : an anatomy of learner-model formats

Collaboration versus personalization in democratic education : evaluating equality in learner data

Conclusion. Becoming data equals.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

0-226-84226-6

OCLC:

1534616800