Ethics in the Era of Generative AI: A Framework for Responsible Development and Use

Generative AI (GenAl) has influenced almost all fields known to mankind. With the advancements in Large Language Models (LLMs), the influence has never been greater. Fields like E-Commerce, Finance, Healthcare and Entertainment have incorporated GenAl in every aspect of day-to-day operations. This situation raises questions about the security and privacy of individuals and corporations. The concerns are primarily based on the obscurity and ambiguity of the infrastructure, process, and data handling behind these models, especially the popular LLMs. Another aspect of the concerns is based on bias, lack of robustness, low legality, and less human-centric behavior of GenAl. These concerns call upon establishing certain frameworks on a socio-technological level such that it ensures GenAl doesn't evolve into a rogue tool.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1109/icitiit64777.2025.11041291
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
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article

Ethics in the Era of Generative AI: A Framework for Responsible Development and Use

Vadluri Akhil, V. Anand
1 citations
Ethics and Social Impacts of AI
2.37
article

Ethics in the Era of Generative AI: A Framework for Responsible Development and Use

Vadluri Akhil, V. Anand
article en
1 citations

Abstract

Generative AI (GenAl) has influenced almost all fields known to mankind. With the advancements in Large Language Models (LLMs), the influence has never been greater. Fields like E-Commerce, Finance, Healthcare and Entertainment have incorporated GenAl in every aspect of day-to-day operations. This situation raises questions about the security and privacy of individuals and corporations. The concerns are primarily based on the obscurity and ambiguity of the infrastructure, process, and data handling behind these models, especially the popular LLMs. Another aspect of the concerns is based on bias, lack of robustness, low legality, and less human-centric behavior of GenAl. These concerns call upon establishing certain frameworks on a socio-technological level such that it ensures GenAl doesn't evolve into a rogue tool.

Openalex Percentile: Top 11%
Ethics and Social Impacts of AI
2.37
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