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http://hdl.handle.net/10125/50557
Ethical Implications of Bias in Machine Learning
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Item Summary
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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