Identity Recognition Discrepancy in Legal Technology and Artificial Intelligence Regarding Algorithm Bias In Transgender Individuals

DOI

10.2991/978-94-6239-618-0_29How to use a DOI?

Keywords

Transgender Persons Act 2019; Gender Justice; Transgender identity; algorithmic bias; legal technology; artificial intelligence; identity recognition; digital governance; DPDPA

Abstract

The convergence of legal technology, artificial intelligence and identity recognition has seen a surge in change in identity verification and Data management. However, the exclusionary measure of the systemic attributes and algorithm prejudice usually impacts the stigmatised groups, like transgender individuals. This analysis studies how legal technology and AI are deemed to be lacking in recognising transgender people fairly, most preferably the gaps in the representation, the data learning systems and the algorithmic bias. The study of the ethical problems and legal consequences of developing privacy safeguards, especially the Digital Personal Data Protection Act, 2023, which, despite being a landmark legislation in countries like India, does not expressly safeguard gender recognition or sexual preference as sensitive personal records. This non-adherence involves vulnerabilities of record misuse, risks of profiling and the ignorance of the transgender beings.

It also highlights the ethical problems and legal consequences, and recommends the inclusion of structures for fair, legalised technology and the AI model. The said study searches for the accessibility, practical hurdles and the awareness related to recognition certification as per the Transgender Persons (Protection of Rights) Act, 2019, with a preferred amplification on transgender persons in the part of North India. Integrating a mixed-methods methodology, the research incorporates the quantitative survey record with legal doctrinal analysis to study the experienced outcomes of legal recognition of identity. A purposively selected sample of transgender respondents (N=100) participated in a bilingual (Hindi-English) questionnaire acknowledging the awareness of legal rights, perceived benefits of identity certification, and hurdles encountered while updating the documents. This paper contributes to the wider discourse on legal recognition, algorithmic governance, and fairness in gender justice in the Global South by foregrounding transgender voices in the policy feedback loop.

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.

Download article (PDF)

TY  - CONF
AU  - Vaidehi Negi
AU  - Anjum Parvez
PY  - 2026
DA  - 2026/03/16
TI  - Identity Recognition Discrepancy in Legal Technology and Artificial Intelligence Regarding Algorithm Bias In Transgender Individuals
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  - 398
EP  - 436
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-618-0_29
DO  - 10.2991/978-94-6239-618-0_29
ID  - Negi2026
ER  -