Bias in machine learning as a multi-dimensional problem
Abstract
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.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (XAI)
Artificial Intelligence in Law
Publication details
- Journal / source
- Edward Elgar Publishing eBooks
- Pages
- 160–176
- Publication date
- 2 January 2026
- Language
- EN
- Document type
- Book chapter