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Article . 2025
License: CC BY
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Artificial Intelligence in India's Social Sectors: Opportunities, Ethical Risks, and the Imperative for Responsible Governance

ভারেত কৃΝϏম বুΝдমЫা (AI)-এর সামাΝজক έϠϏვিলেত ϕেয়াগ: সুেযাগ, ίনিতক ঝুঁিক এবং দািয়Яশীল শাসেনর ϕেয়াজনীয়তা
Authors: Allika, Sangita;

Artificial Intelligence in India's Social Sectors: Opportunities, Ethical Risks, and the Imperative for Responsible Governance

Abstract

Artificial Intelligence (AI) stands at the core of the fourth industrial revolution and presents India withunprecedented potential to modernize services, enhance governance, and act as a development multiplieracross critical social sectors like healthcare, education, and public welfare. AI applications, leveraging India’sgrowing digital public infrastructure, promise efficiency in diagnosis, personalized learning, and fraudprevention in welfare schemes. However, this rapid implementation comes with profound ethical and legalchallenges. Key risks include the reinforcement of social inequalities due to algorithmic bias againstmarginalized communities, privacy invasions from massive data collection, and exclusion exacerbated by thepersistent digital divide and infrastructural deficits, particularly in rural areas. This article analyzes the specificopportunities and risks associated with AI deployment in India and underscores the urgent need for acomprehensive, risk-based governance framework that ensures AI systems are equitable, transparent, andaligned with constitutional principles

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Keywords

Governance, Algorithmic Bias, Artificial Intelligence, Public Services, Health Coverage, Inclusivity, Rural Development, Digital Divide, Data Diversity, Education

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green