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大数据
Article . 2024
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大语言模型数据隐私保护的难点与探索

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2024 Chinese Publisher:China InfoCom Media GroupJournal:大数据 (issn: 2096-0271, Copyright policy )

大语言模型数据隐私保护的难点与探索

Abstract

基于海量数据训练的大语言模型在带来通用人工智能可能性的同时，也给数据隐私保护带来了新的风险与挑战。在分析大语言模型全环节中涉及的数据隐私保护风险的基础上，对隐私保护中知情同意原则、数据收集“正当、必要”原则所面临的新伦理难点展开分析论证，并探索可能的解决框架和路径，以及实操中仍可能存在的伦理难点。

Keywords

知情同意, 大语言模型, Electronic computers. Computer science, 生成式人工智能, 数据责任, QA75.5-76.95, 数据隐私

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold