Northwestern University

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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