11: Bias in machine learning as a multi-dimensional problem

Nowadays, when talking about Artificial Intelligence (AI), we mostly refer to methods of Machine Learning (ML). Whereas these technologies have a huge potential, there are also risks and limitations, including the reflection of societal biases. This chapter discusses the term bias from different per...

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मुख्य लेखक: Kurpicz-Briki, Mascha
स्वरूप: Online
भाषा:अंग्रेज़ी
प्रकाशित: Edward Elgar Publishing 2026
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ऑनलाइन पहुंच:https://directory.doabooks.org/handle/20.500.12854/173411
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author Kurpicz-Briki, Mascha
author_browse Kurpicz-Briki, Mascha
author_facet Kurpicz-Briki, Mascha
author_sort Kurpicz-Briki, Mascha
collection Directory of Open Access Books
description Nowadays, when talking about Artificial Intelligence (AI), we mostly refer to methods of Machine Learning (ML). Whereas these technologies have a huge potential, there are also risks and limitations, including the reflection of societal biases. This chapter discusses the term bias from different perspectives and argues that bias in machine learning is a complex multidimensional problem. The current limitations of technical solutions to this problem thus bring important implications for SSH researchers to consider.
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spelling doab-20.500.12854ir-1734112026-03-10T11:32:38Z 11: Bias in machine learning as a multi-dimensional problem Kurpicz-Briki, Mascha Machine learning; Artificial intelligence; Natural language processing; Language models; Bias; Responsible AI KJMK JHBC GPS GBC Nowadays, when talking about Artificial Intelligence (AI), we mostly refer to methods of Machine Learning (ML). Whereas these technologies have a huge potential, there are also risks and limitations, including the reflection of societal biases. This chapter discusses the term bias from different perspectives and argues that bias in machine learning is a complex multidimensional problem. The current limitations of technical solutions to this problem thus bring important implications for SSH researchers to consider. Published 2026-03-10T11:32:35Z 2026-03-10T11:32:35Z 2026-01-02 chapter 9781802208993 https://directory.doabooks.org/handle/20.500.12854/173411 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.e-elgar.com/shop/gbp/handbook-of-digital-and-computational-research-methods-9781802208986.html https://www.elgaronline.com/edcollchap-oa/book/9781802208993/chapter11.xml Edward Elgar Publishing Edward Elgar Publishing 10.4337/9781802208993.00018 10.4337/9781802208993.00018 01ceac28-75b4-492a-8eec-f9b98bc6b28c https://creativecommons.org/licenses/by-nc-nd/4.0/ 9781802208993 Edward Elgar Publishing Cheltenham, UK open access
spellingShingle Machine learning; Artificial intelligence; Natural language processing; Language models; Bias; Responsible AI
KJMK
JHBC
GPS
GBC
Kurpicz-Briki, Mascha
11: Bias in machine learning as a multi-dimensional problem
title 11: Bias in machine learning as a multi-dimensional problem
title_full 11: Bias in machine learning as a multi-dimensional problem
title_fullStr 11: Bias in machine learning as a multi-dimensional problem
title_full_unstemmed 11: Bias in machine learning as a multi-dimensional problem
title_short 11: Bias in machine learning as a multi-dimensional problem
title_sort 11 bias in machine learning as a multi dimensional problem
topic Machine learning; Artificial intelligence; Natural language processing; Language models; Bias; Responsible AI
KJMK
JHBC
GPS
GBC
topic_facet Machine learning; Artificial intelligence; Natural language processing; Language models; Bias; Responsible AI
KJMK
JHBC
GPS
GBC
url https://directory.doabooks.org/handle/20.500.12854/173411
work_keys_str_mv AT kurpiczbrikimascha 11biasinmachinelearningasamultidimensionalproblem