The Social Impact of Generative AI: An Analysis on ChatGPT

Abstract

In recent months, the social impact of Artificial Intelligence (AI) has gained considerable public interest, driven by the emergence of Generative AI models, ChatGPT in particular. The rapid development of these models has sparked heated discussions regarding their benefits, limitations, and associated risks. Generative models hold immense promise across multiple domains, such as healthcare, finance, and education, to cite a few, presenting diverse practical applications. Nevertheless, concerns about potential adverse effects have elicited divergent perspectives, ranging from privacy risks to escalating social inequality. This paper adopts a methodology to delve into the societal implications of Generative AI tools, focusing primarily on the case of ChatGPT. It evaluates the potential impact on several social sectors and illustrates the findings of a comprehensive literature review of both positive and negative effects, emerging trends, and areas of opportunity of Generative AI models. This analysis aims to facilitate an in-depth discussion by providing insights that can inspire policy, regulation, and responsible development practices to foster a human-centered AI.

Presented at GoodIT2023 - ACM Conference on Information Technology for Social Good

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• POLARIS: A framework to guide the development of Trustworthy AI systems
• Understanding the Dataset Practitioners Behind Large Language Model Development
• An ethical study of generative AI from the Actor-Network Theory perspective
• ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering