The Demand for Artificial Intelligence and Essential Needs: A Social Perspective

Artificial Intelligence (AI)-enabled systems are depending on data inputs to the applications. These applications are developed using mathematics and/or statistical algorithms and sometimes it uses rule-based algorithms. Developers trained the applications to take decisions based on the conclusion driven by these algorithms. Various sectors have adopted AI-enabled system and there are fully automated systems in a workflow. This paper explores the usage of AI-enabled systems in different sectors, it also evaluating the fairness and reliability of AI in different sectors. Study of AI-enabled applications with reference to their earlier versions provide us insights of changes occurs in the present scenarios; hence, we can think that Do we genuinely need this advancement? Implications of these systems in the society will be long lasting and profound, the study will also throw light on the social ethics about the usage. This paper is empirical study of mentioned aspects, beside this it will examines whether AI-enabled technologies pose challenges for present and future of the human society. If it leads to negative consequences, it could create a profound crisis for human values. Hence, this paper offers a realistic discussion on the essential considerations and requirements surrounding AI automation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-25
DOI
https://doi.org/10.5281/zenodo.16993623
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

The Demand for Artificial Intelligence and Essential Needs: A Social Perspective

Neepa Shah
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

The Demand for Artificial Intelligence and Essential Needs: A Social Perspective

Neepa Shah
article en

Abstract

Artificial Intelligence (AI)-enabled systems are depending on data inputs to the applications. These applications are developed using mathematics and/or statistical algorithms and sometimes it uses rule-based algorithms. Developers trained the applications to take decisions based on the conclusion driven by these algorithms. Various sectors have adopted AI-enabled system and there are fully automated systems in a workflow. This paper explores the usage of AI-enabled systems in different sectors, it also evaluating the fairness and reliability of AI in different sectors. Study of AI-enabled applications with reference to their earlier versions provide us insights of changes occurs in the present scenarios; hence, we can think that Do we genuinely need this advancement? Implications of these systems in the society will be long lasting and profound, the study will also throw light on the social ethics about the usage. This paper is empirical study of mentioned aspects, beside this it will examines whether AI-enabled technologies pose challenges for present and future of the human society. If it leads to negative consequences, it could create a profound crisis for human values. Hence, this paper offers a realistic discussion on the essential considerations and requirements surrounding AI automation.

Zenodo (CERN European Organization for Nuclear Research)
Gujarat Vidyapith (IN)
Openalex Percentile: Top 25%
Ethics and Social Impacts of AI
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