Responsible AI Framework For Large Language Models (LLMs)

Large language models (LLMs) have become quite popular in recent years due to their remarkable capacity to produce language that is human-like. The creation and use of LLMs, however, also bring up serious ethical questions on topics like prejudice, discrimination, privacy, security, transparency, and unexpected consequences. Responsible AI frameworks for LLMs are becoming more and more necessary in order to solve these issues. A responsible AI framework can offer direction on how to create and use LLMs in a way that is morally right, just, and advantageous for everyone. This paper covers important factors for creating responsible AI frameworks for LLMs and emphasizes the need for such frameworks. Transparency, justice, privacy, responsibility, safety, and social duty are some of these factors. We can ensure that these models are created and used in a way that is consistent with societal values and goals and that they help to create a better and more just world by adopting a responsible AI framework for LLMs.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/icacc63692.2024.10845690
Citations
2
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.69
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article

Responsible AI Framework For Large Language Models (LLMs)

Bharat Tripathi, Kulvinder Singh, Narendra Singh, Sheetesh Kumar et al.
2 citations
Topic Modeling
0.69
article

Responsible AI Framework For Large Language Models (LLMs)

Bharat Tripathi, Kulvinder Singh, Narendra Singh, Sheetesh Kumar, Naman Kandhari
article en
2 citations

Abstract

Large language models (LLMs) have become quite popular in recent years due to their remarkable capacity to produce language that is human-like. The creation and use of LLMs, however, also bring up serious ethical questions on topics like prejudice, discrimination, privacy, security, transparency, and unexpected consequences. Responsible AI frameworks for LLMs are becoming more and more necessary in order to solve these issues. A responsible AI framework can offer direction on how to create and use LLMs in a way that is morally right, just, and advantageous for everyone. This paper covers important factors for creating responsible AI frameworks for LLMs and emphasizes the need for such frameworks. Transparency, justice, privacy, responsibility, safety, and social duty are some of these factors. We can ensure that these models are created and used in a way that is consistent with societal values and goals and that they help to create a better and more just world by adopting a responsible AI framework for LLMs.

Chandigarh University (IN), Invertis University (IN)
Quality Education
Openalex Percentile: Top 22%
Topic Modeling
0.69
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