Responsible AI Framework For Large Language Models (LLMs)
Important factors for creating responsible AI frameworks for LLMs are covered and the need for such frameworks is emphasized.
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.