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The Challenges and Countermeasures of ChatGPT-Type Generative Artificial Intelligence on Information Subjects Right to Know
Jiang, Yingying
2024-02-13
Conference Name7th International Conference of Artificial Intelligence, Medical Engineering, Education, AIMEE 2023
Source PublicationAdvances in Transdisciplinary Engineering; Artificial Intelligence, Medical Engineering and Education
Volume48
Pages126-134
Conference Date9-10 November 2023
Conference PlaceGuangzhou, China
CountryChina
Author of SourceZhengbing Hu, Qingying Zhang, Matthew He, Felix Yanovsky
PublisherIOS Press BV
Abstract

While ChatGPT's technological innovation has attracted worldwide attention, the risk of personal information leakage is particularly significant. Upon analysis, the primary cause for people's apprehension lies in the ambiguous origin of ChatGPT and the uncertain utilization of users' input information. These substantive issues can be distilled into challenges to the information subject's right to know. This paper takes ChatGPT, a representative generative artificial intelligence, as a case study to elucidate its effects on the information subject's right to know throughout various stages. To balance technological innovation and the rights of information subjects, priority is given to guarantee the rights through technical means. It is proposed to explore a path towards countermeasures through collaborative efforts of industry, administrative and judiciary authorities.

KeywordChatgpt Generative Artificial Intelligence Personal Information The Right To Know
DOI10.3233/ATDE231322
URLView the original
Language英語English
Scopus ID2-s2.0-85189368929
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Citation statistics
Document TypeConference paper
CollectionFaculty of Law
Corresponding AuthorJiang, Yingying
AffiliationSchool of Law, University of Macau, Macau, Macao
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Jiang, Yingying. The Challenges and Countermeasures of ChatGPT-Type Generative Artificial Intelligence on Information Subjects Right to Know[C]. Zhengbing Hu, Qingying Zhang, Matthew He, Felix Yanovsky:IOS Press BV, 2024, 126-134.
APA Jiang, Yingying.(2024). The Challenges and Countermeasures of ChatGPT-Type Generative Artificial Intelligence on Information Subjects Right to Know. Advances in Transdisciplinary Engineering; Artificial Intelligence, Medical Engineering and Education, 48, 126-134.
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