Proceedings of 3rd International Conference on Library & Technology on “Artificial Intelligence and Humanities in Library and Education 4.0 (AIHLE 2025)

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Algorithm beyond Neutrality: Feminist Approaches to Redefining Artificial Intelligence

Authors
Manavi Shahi1, Harleen Kaur2, *, Deepa Tyagi3, Rati Sood4, Vipin Kumar5, Tikaram6
1School of Liberal Arts, Uttaranchal University, Dehradun, Uttarakhand, India
2Department of Humanities and Social Sciences, Jaypee Institute of Information Technology, Noida, India
3Department of English, JSS Academy of Technical Education, Noida, India
4School of Liberal Arts, Uttaranchal University, Dehradun, Uttarakhand, India
5Graphic Era Hill University, Dehradun, India
6Department of Applied Sciences and Humanities, Tula’s Institute, Dehradun, Uttarakhabd, 248011, India
*Corresponding author. Email: kaurharleen030@gmail.com
Corresponding Author
Harleen Kaur
Available Online 16 March 2026.
DOI
10.2991/978-94-6239-618-0_20How to use a DOI?
Keywords
Bias Algorithm; Feminist lens; Methodologies
Abstract

Artificial Intelligence (AI) has become a crucial force that is shaping and influencing our society in modern world. The algorithm that drives these systems are not neutral with biases data that are been increasingly questioned. The feminists critique the algorithms of AI and expose the myth of algorithm to be neutral, instead it reflects the biases, power dynamics and social disparities inherent in their design. Through a feminists lens, this paper examines the inequalities perpetuate be AI technologies and how feminists methodologies and theories such as cyberfeminism becomes a vision and also a tool to reimagine and refine AI development and hoe it can transform and help to eliminate these biases, the research advocates for more inclusive, transparent and ethically responsible AI systems that challenges traditional power, exclusionary structure and calls for a redefinition of AI that serves inclusivity without reinforcing existing prejudice. It not only critiques the system. A small survey was also been conducted to see people perspective towards equality in AI development. The findings shows that people are aware of biases done by AI system and feel how important it is to have feminists’ idea in AI for more equitable AI system.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of 3rd International Conference on Library & Technology on “Artificial Intelligence and Humanities in Library and Education 4.0 (AIHLE 2025)
Series
Advances in Intelligent Systems Research
Publication Date
16 March 2026
ISBN
978-94-6239-618-0
ISSN
1951-6851
DOI
10.2991/978-94-6239-618-0_20How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Manavi Shahi
AU  - Harleen Kaur
AU  - Deepa Tyagi
AU  - Rati Sood
AU  - Vipin Kumar
AU  - Tikaram
PY  - 2026
DA  - 2026/03/16
TI  - Algorithm beyond Neutrality: Feminist Approaches to Redefining Artificial Intelligence
BT  - Proceedings of 3rd International Conference on Library & Technology on “Artificial Intelligence and Humanities in Library and Education 4.0 (AIHLE 2025)
PB  - Atlantis Press
SP  - 262
EP  - 275
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-618-0_20
DO  - 10.2991/978-94-6239-618-0_20
ID  - Shahi2026
ER  -