The Role of Artificial Intelligence in Community Welfare: A Philosophical Exploration
DOI:
https://doi.org/10.53032/tvcr/2025.v7n1.12Keywords:
Community welfare, Artificial intelligence (AI), Ethical intelligence, Environmental conservation, Social justice, Social inclusion, Existential concerns, Social harmonyAbstract
Artificial Intelligence (AI) in the realm of community welfare is giving birth to possibilities and thoughtfulness in contemporary society. This technological revolution not only improves the quality of life but also contributes effectively to health, education, poverty alleviation, disaster management, and other social services. Through AI, better decision-making, efficient resource distribution, and rapid problem-solving are becoming feasible, thereby ensuring prosperity and justice in society. For example, AI-based predictive models are assisting in the management of unforeseen disasters and are paving the way for new diagnoses and treatments in the field of medicine. However, a pertinent question arises: how should its development and usage for human welfare be guided by ethical guidelines? Additionally, it is essential to understand how AI (Artificial Intelligence) can reduce social inequalities and influence the human decision-making process. Should it be viewed merely as a technical tool, or should it be integrated with principles such as ethical responsibilities, privacy, and equality? Adopting a human-centered perspective, this research paper analyzes not only the technical benefits of AI but also its ethical, social, and philosophical aspects. The aim of this research paper is to clarify how AI can be used as a collaborative tool to enhance community participation and self-reliance. By integrating technical innovations with philosophical perspectives, this paper presents a framework for achieving long-term goals of community welfare. Therefore, understanding these aspects of AI will not only expand its scope but also ensure that technological progress remains balanced with human values.
References
- Wang, P., & Goertzel, B. (2007). Introduction: Aspects of artificial general intelligence. In Proceedings of the 2007 conference on Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the AGI Workshop 2006 (pp. 1-16).
- वर्मा,प्रोफेसर अशोक कुमार, प्रारम्भिक समाज एवं राजनीति दर्शन, मोतीलाल बनारसीदास ,दिल्ली, 2014 पृष्ठ स. 6
- सिंह, डॉक्टर शिव भानु, समाज दर्शन का सर्वेक्षण, शारदा पुस्तक भवन इलाहाबाद, 2016,
पृष्ठ स. 106
- Li, G., Jin, Y., Akram, M. W., Chen, X., & Ji, J. (2018). Application of bio-inspired algorithms in maximum power point tracking for PV systems under partial shading conditions–A review. Renewable and Sustainable Energy Reviews, 81, 840-873.
- Szeliski, R. (2014). Concise Computer Vision. An Introduction into Theory and Algo-rithms..
- Morelli, J. (2011). Environmental sustainability: A definition for environmental professionals. Journal of Environmental Sustainability, 1(1), 2.
- मिश्र, सभाजीत, कांट का दर्शन, उत्तर प्रदेश हिंदी संस्थान, लखनऊ, 1998, पृष्ठ स.182-227
- चौबे, कमलनयन, न्याय का सिद्धांत, जान राल्स, publisher - oxford University press (3 october 2022) pag 302
- लाल, बसन्त कुमार, समकालीन पश्चात दर्शन,मोतीलाल बनारसीदास, वाराणसी, 2007
पृष्ठ स.492 -514
- वर्मा,प्रोफेसर अशोक कुमार, प्रारम्भिक समाज एवं राजनीति दर्शन, मोतीलाल बनारसीदास ,दिल्ली, 2014 पृष्ठ स. 106
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 The Voice of Creative Research

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.