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...
में बचाया:
| मुख्य लेखक: | |
|---|---|
| स्वरूप: | Online |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
Edward Elgar Publishing
2026
|
| विषय: | |
| ऑनलाइन पहुंच: | https://directory.doabooks.org/handle/20.500.12854/173411 |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
|
| _version_ | 1869520992756301824 |
|---|---|
| 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. |
| format | Online |
| id | doab-20.500.12854ir-173411 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Edward Elgar Publishing |
| publisherStr | Edward Elgar Publishing |
| record_format | ojs |
| 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 |