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

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arxiv 2406.05392 v2 pith:3HI26I5S submitted 2024-06-08 cs.CL cs.AIcs.CYcs.LG

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

classification cs.CL cs.AIcs.CYcs.LG
keywords ethicallanguagellmsmodelssurveydevelopmentissueslarge
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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