Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey

TL;DR

This survey reviews longstanding and emerging ethical issues of Large Language Models, emphasizing the importance of integrating societal values into their development for responsible deployment.

Contribution

It provides a comprehensive analysis of ethical challenges in LLMs and discusses strategies for aligning their development with societal and ethical standards.

Findings

Identifies key ethical issues including bias, privacy, and misinformation.

Highlights the need for integrating ethical standards into LLM development.

Critiques current mitigation strategies and suggests future directions.

Abstract

Large Language Models (LLMs) have achieved unparalleled success across diverse language modeling tasks in recent years. However, this progress has also intensified ethical concerns, impacting the deployment of LLMs in everyday contexts. This paper provides a comprehensive survey of ethical challenges associated with LLMs, from longstanding issues such as copyright infringement, systematic bias, and data privacy, to emerging problems like truthfulness and social norms. We critically analyze existing research aimed at understanding, examining, and mitigating these ethical risks. Our survey underscores integrating ethical standards and societal values into the development of LLMs, thereby guiding the development of responsible and ethically aligned language models.