Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment
Jianyi Zhang, Xu Ji, Zhangchi Zhao, Xiali Hei, Kim-Kwang Raymond Choo

TL;DR
This paper discusses the ethical issues and policy challenges associated with large language models, emphasizing the importance of responsible development and deployment through ethical frameworks and regulations.
Contribution
It provides a comprehensive analysis of ethical considerations and proposes policy guidelines for responsible use of large language models.
Findings
Highlighting potential positive and negative impacts of LLMs
Identifying challenges in assigning responsibility for AI outputs
Recommending proactive ethical and policy measures
Abstract
This paper examines the ethical considerations and implications of large language models (LLMs) in generating content. It highlights the potential for both positive and negative uses of generative AI programs and explores the challenges in assigning responsibility for their outputs. The discussion emphasizes the need for proactive ethical frameworks and policy measures to guide the responsible development and deployment of LLMs.
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Taxonomy
TopicsTopic Modeling · Natural Language Processing Techniques
