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Is ChatGPT Trustworthy Enough? A Review

Authors: Zhou, Guoliang; Liu, Yijia; Yan, Zheng; Gelenbe, Erol;

Is ChatGPT Trustworthy Enough? A Review

Abstract

ChatGPT, as an advanced model that seamlessly integrates into diverse digital interactions, shows great potential to enhance the performance of consumer technology and reshape its landscape. The critical question of its trustworthiness and associated challenges becomes increasingly prominent. However, the literature still lacks a thorough review to study its trust. This comprehensive review explores whether ChatGPT is trustworthy enough by navigating the multifaceted realm of large language models, placing a significant focus on its exemplar model, ChatGPT. Our exploration traverses the complex interplay of factors impacting user trust, including trust in ChatGPT itself and trust in its utilization and dissemination. By delving into insightful perspectives on the ChatGPT trustworthiness regarding a set of evaluation criteria including fundamental properties, subjective properties, security and privacy, we find that ChatGPT is far from trustworthy based on related literature review. This paper sheds light on the weakness of ChatGPT trust and provides the trajectory of future development in the realm of large language models.

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    popularity
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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
Green
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