Artificial Intelligence for Social Impact Bridging the Gap between Technology and Social Work

The integration of artificial intelligence (AI) in social work holds the potential to address pressing global challenges and contribute to positive social impact aligned with the United Nations Sustainable Development Goals (SDGs). The AI for Social good aims to leverage AI and machine learning tools to tackle social problems across diverse domains, including transportation infrastructure, public health, and community engagement. However, the ethical and policy considerations surrounding the deployment of AI in social impact initiatives are supreme. These considerations encompass sustainability, transparency, inclusivity, and the protection of human rights and creativity. Establishing robust regulations, developing ethical frameworks, and fostering ongoing discussions are essential for shaping a future where socially responsible AI is the norm. As AI continues to evolve, it is crucial to direct the ethical and policy space to ensure that AI-driven social impact initiatives align with the principles of fairness, accountability, and societal benefit.

Publication Details

Journal
REST Journal on Data Analytics and Artificial Intelligence
Published
2025-02-26
DOI
https://doi.org/10.46632/jdaai/2/1/14
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence for Social Impact Bridging the Gap between Technology and Social Work

REST Journal on Data Analytics and Artificial Intelligence
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence for Social Impact Bridging the Gap between Technology and Social Work

article en

Abstract

The integration of artificial intelligence (AI) in social work holds the potential to address pressing global challenges and contribute to positive social impact aligned with the United Nations Sustainable Development Goals (SDGs). The AI for Social good aims to leverage AI and machine learning tools to tackle social problems across diverse domains, including transportation infrastructure, public health, and community engagement. However, the ethical and policy considerations surrounding the deployment of AI in social impact initiatives are supreme. These considerations encompass sustainability, transparency, inclusivity, and the protection of human rights and creativity. Establishing robust regulations, developing ethical frameworks, and fostering ongoing discussions are essential for shaping a future where socially responsible AI is the norm. As AI continues to evolve, it is crucial to direct the ethical and policy space to ensure that AI-driven social impact initiatives align with the principles of fairness, accountability, and societal benefit.

REST Journal on Data Analytics and Artificial IntelligenceVol. 2(1)
Openalex Percentile: Top 98%
Artificial Intelligence in Healthcare and Education
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