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Filtering by: Keyword algorithmic bias Resource type Dissertation Subject Artificial intelligence Subject Computer science Subject Information science

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1. Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts

Description:: Data Science and related fields like Artificial Intelligence, Machine Learning, and Statistics provide indispensable research methods for understanding a wide variety of phenomena from large datasets. However, as methodical and empirical as these methods aim to be, there are many subjective and discretionary choices that the data scientist must make...
Keyword:: human computation, inter-annotator agreement, algorithmic bias, content moderation, and Machine Learning
Subject:: Information science, Artificial intelligence, and Computer science
Creator:: Cambo, Scott Allen
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/28/2021
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_810456 and http://dissertations.umi.com/northwestern:15510

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1. Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts