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Filtering by: Keyword algorithmic fairness Keyword machine learning Subject Information science Subject Social research

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1. Biases as Values: Evaluating Algorithms in Context

Description:: This dissertation asks how researchers can create more equitable algorithmic systems. Ultimately, this thesis explores methods and implications of representing subjects of analysis in the design and evaluation of algorithmic systems. I also unpack how algorithmic tools measure and quantify human behavior, giving heed to the potential impacts of these...
Keyword:: algorithms, machine learning, human-computer interaction, social discrimination, age discrimination, and algorithmic fairness
Subject:: Information science, Social research, and Computer science
Creator:: Díaz, Mark
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_762101 and http://dissertations.umi.com/northwestern:15226