Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61869
Volume:
10 |
4 |
April 2026
Pages:
1-10
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
independent researcher
Ananya Institute of Commerce and Law, Kalol, India
In India, artificial intelligence is gradually being incorporated in governance, finance, education, employment, policing, the delivery of welfare, health systems, and online platforms. With access to opportunities and state benefits mediated by algorithmic systems, the legal question has ceased to be whether AI can impact rights, but how Indian constitutional law ought to address algorithmic harms. The current paper is a systematic literature review (SLR)-style article that explores the notion of algorithmic bias in terms of the Indian Constitution, specifically Article 14, 15, and 21, which combine to establish equality, non-discrimination, dignity, privacy, and procedural fairness. The article has synthesized the constitutional doctrine, materials on Indian policy regarding responsible AI, developments in digital governance, and comparative ethics to state that the issue of algorithmic bias is not a technical flaw but a constitutional issue. Social hierarchies can be reproduced using biased datasets, opaque models, proxy discrimination, and automated decision systems, which will seem unbiased. Algorithms can enhance exclusion in especially extreme manners in India, where historically, inequality is organized based on caste, gender, religion, disability, language, region, and access to technology. The review establishes that Indian constitutional principles have already offered a normative base in governing high-risk AI, and the current governance is still in pieces and mostly policy-oriented. Constitutional approach would entail substantive equality, anti-stereotyping examination, explainable within a proportional influence, data administration protection, human management, and remedies easily available. This paper concludes that India ought to transition to a rights-based AI governance framework where algorithmic accountability is seen as a continuation of constitutionalism as opposed to a sector-specific compliance challenge.
KEYWORDS
Algorithms bias in India cannot be perceived as small-scale engineering issue. It is a constitutional dilemma that is a result of the increasing power of data-driven systems over life opportunities, liberty rights, and social identity. An advanced normative framework to address this issue already exists in the Indian Constitution. Article 14 concerns arbitrariness and unequal treatment; Articles 1516 enlighten the issues of discrimination, social hierarchy and anti-subordination; Article 21 links the notions of dignity, privacy, autonomy and fair procedure. When combined, these clauses assist in a strong constitutional theory of algorithmic accountability. The focal point of this review is that algorithmic systems take over the society that the data used to compose them is based on. In a society that is highly unequal, the neutral looking models can encode unequal worlds. The constitutional law must thus transcend intent and transcend technical abstraction. It should analyse impact, structure, contestability, and power. This is especially significant in the situation when the state operates AI or uses the service of the private AI systems to perform the state functions. In this kind of environment, the issue of the lack of transparency is not just an inconvenience; it is the matter of due process. Inequality of error rates is not a simple performance variation, but it can constitute constitutional harm. Unprotected data extraction is not a simple friction of innovation, it is a question of dignity and privacy. The current policy direction of India is cognizant of such issues. The NITI Aayog, the IndiaAI Mission Safe and Trusted pillar, responsible AI documents, the governance consultation initiatives and other advisories all lead to fairness, accountability and trustworthy AI. Nevertheless, constitutional democracies need more than an idealistic desire. They have to have structures that can be enforced. Constitutionalizing of operational protections should then be the next step of Indian AI governance: compulsory impact assessments, fairness audits, robust public procurement principles, explainability requirements corresponding to risk, and readily available redress to harmed individuals. A rights-based regulatory framework would not delay innovation needlessly, quite on the contrary, it would rationalize innovation by streamlining AI usage along with the public trust and constitutional morality. The constitutional tradition in India has a tendency to reframe timeless principles into novel forms of power. Equality, non-discrimination, and due process have only to be reasserted in the latest domain, called algorithmic governance. Whether AI should be regulated or not, is no longer a constitutional question. The question is whether India will constitutionalize AI in a way that it deserves.
[1]. Constitution of India. India Code. [2]. Digital Personal Data Protection Act, 2023. India Code. [3]. Justice K.S. Puttaswamy (Retd.) v. Union of India (Supreme Court of India, 2018). [4]. Maneka Gandhi v. Union of India (Supreme Court of India, 1978). [5]. Anuj Garg v. Hotel Association of India (Supreme Court of India, 2008). [6]. NITI Aayog. Approach Document for India Part 1 – Principles for Responsible AI (2021). [7]. NITI Aayog. Part 2 – Operationalizing Principles for Responsible AI (2021). [8]. NITI Aayog. Towards Responsible AI: Enforcement Mechanisms for Responsible AI (discussion draft). [9]. NITI Aayog. National Strategy for Artificial Intelligence (2018). [10]. IndiaAI. Cabinet approves IndiaAI Mission at an outlay of Rs 10,372 crore (2024). [11]. IndiaAI. Report on AI Governance Guidelines Development (2025). [12]. MeitY. Advisory on AI/LLM/Generative AI intermediaries and platforms (2024). [13]. UNESCO. Recommendation on the Ethics of Artificial Intelligence (2021). [14]. OECD. Recommendation of the Council on Artificial Intelligence and related AI principles materials.
Publication Date
5/1/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
4
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...