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Ethical Implications of Bias in Machine Learning

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Title:Ethical Implications of Bias in Machine Learning
Authors:Yapo, Adrienne
Weiss, Joseph
Keywords:Topics in Organizational Systems and Technology
AI and Ethics, Machine Learning and Ethics
Date Issued:03 Jan 2018
Abstract:Biases in AI and machine learning algorithms are presented and analyzed through two issues management frameworks with the aim of showing how ethical problems and dilemmas can evolve. While "the singularity" concept in AI is presently more predictive than actual, both benefits and damage that can result by failure to consider biases in the design and development of AI. Inclusivity and stakeholder awareness regarding potential ethical risks and issues need to be identified during the design of AI algorithms to ensure that the most vulnerable in societies are protected from harm.
Pages/Duration:8 pages
URI:http://hdl.handle.net/10125/50557
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.668
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Topics in Organizational Systems and Technology


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