Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Aug 2023.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 2; 2024: 3.
5 papers.
- 2023Large Language Models for Software Engineering: A Systematic Literature Reviewcited by 389
- 2024ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teamingcited by 96
- 2023Advances in Embodied Navigation Using Large Language Models: A Surveycited by 14
- 2024ChatGPT Code Detection: Techniques for Uncovering the Source of Codecited by 6
- 2024EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoningcited by 5
- 2024EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning6 Nov 2024
- 2024ChatGPT Code Detection: Techniques for Uncovering the Source of Code24 May 2024
- 2024ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming6 Apr 2024
- 2023Advances in Embodied Navigation Using Large Language Models: A Survey1 Nov 2023
- 2023Large Language Models for Software Engineering: A Systematic Literature Review21 Aug 2023