AI FOR SOCIAL GOOD: APPLICATIONS IN HEALTHCARE, EDUCATION, AND ENVIRONMENTAL SUSTAINABILITY

This chapter presents an overview of AI technologies that have demonstrated clear societal benefits.We define AI for social good as applications of AI to implement solutions in the domains of public health, education, and environmental sustainability with the aim of significantly benefiting society.Drawing from specific projects, we describe the opportunities and challenges of deploying data-driven AI techniques to address these critical societal and scientific problems, including ensuring fairness, transparency, and interpretation of AI solutions.We also summarize key techniques and research directions in AI that are likely to lead to more societal benefits in the future.This includes discussing the potential impact of AI on different sectors and its implications for the overall betterment of society.Additionally, we explore the ethical considerations and potential risks associated with the use of AI for social good, and the need for ongoing monitoring and evaluation of its impact on society.This chapter serves as a comprehensive guide to understanding the potential of AI to contribute to the advancement of society and the importance of responsible and ethical use of AI for the betterment of all.

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2025-10-12
DOI
https://doi.org/10.56726/irjmets81919
Primary Topic
Sustainability in Higher Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI FOR SOCIAL GOOD: APPLICATIONS IN HEALTHCARE, EDUCATION, AND ENVIRONMENTAL SUSTAINABILITY

International Research Journal of Modernization in Engineering Technology and Science
Sustainability in Higher Education
article

AI FOR SOCIAL GOOD: APPLICATIONS IN HEALTHCARE, EDUCATION, AND ENVIRONMENTAL SUSTAINABILITY

article en

Abstract

This chapter presents an overview of AI technologies that have demonstrated clear societal benefits.We define AI for social good as applications of AI to implement solutions in the domains of public health, education, and environmental sustainability with the aim of significantly benefiting society.Drawing from specific projects, we describe the opportunities and challenges of deploying data-driven AI techniques to address these critical societal and scientific problems, including ensuring fairness, transparency, and interpretation of AI solutions.We also summarize key techniques and research directions in AI that are likely to lead to more societal benefits in the future.This includes discussing the potential impact of AI on different sectors and its implications for the overall betterment of society.Additionally, we explore the ethical considerations and potential risks associated with the use of AI for social good, and the need for ongoing monitoring and evaluation of its impact on society.This chapter serves as a comprehensive guide to understanding the potential of AI to contribute to the advancement of society and the importance of responsible and ethical use of AI for the betterment of all.

International Research Journal of Modernization in Engineering Technology and Science
Openalex Percentile: Top 69%
Sustainability in Higher Education
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