Legal Irregularities and Bias in Deep Seek and ChatGPT AI: A Comparative Analysis

DOI

10.2991/978-2-38476-515-7_5How to use a DOI?

Keywords

Artificial Intelligence; Algorithmic Bias; Legal Irregularities; Data Protection; Copyright Infringement

Abstract

The emergence of DeepSeek AI exhibits a significant progress in the field of artificial intelligence, bringing sophisticated functionalities in predictive modelling, deep data analysis, and automated decision-making. Its growing application in various sectors which includes finance, governance, healthcare, and legal systems points at a shift towards data-driven frameworks. Simultaneously, conversational AI systems like ChatGPT have transformed human-machine interactions through evolved natural language processing and dialogue-based communications. Although both these systems function in different arenas, they give rise to serious apprehensions relating to the algorithmic bias, legal violations, and possible encroachment of fundamental rights. This study provides a comparative evaluation of DeepSeek and ChatGPT primarily with the aim to assess the ethical, legal, and regulatory aspects associated with their employment. It examines dangers like biased or discriminatory conclusions, fortification of social typecasts, and absence of fairness in automated decision-making. Critical concerns pertaining to transparency, accountability, privacy, and civil liberties are analysed, in the light of the disparities in current legal structures regulating the field of artificial intelligence. This paper highlights the need for strong accountability protocols, efficient laws, and global ethical principles to foster responsible and human-focused development of AI. It emphasizes the importance of rights-based oversight, objective policies, and translucent auditing that not only promote innovation, but also protect trust, fairness, and public interests. By offering a comprehensible comparative assessment, this study adds to the ongoing discourse relating to law and governance of AI and provides crucial direction for legal professionals, policy framers, and technology experts.

Copyright

© 2025 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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TY  - CONF
AU  - Tabrez Ahmad
AU  - Abdus Saboor Maaz
AU  - Sayed Murtaza Ali Jafri
PY  - 2025
DA  - 2025/12/26
TI  - Legal Irregularities and Bias in Deep Seek and ChatGPT AI: A Comparative Analysis
BT  - Proceedings of the International Conference on Law and Technology (ICLT 2025)
PB  - Atlantis Press
SP  - 42
EP  - 57
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-515-7_5
DO  - 10.2991/978-2-38476-515-7_5
ID  - Ahmad2025
ER  -