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ChatGPT’s Opportunities and Challenges for Privacy Protection: A Systematic Literature Review

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Dissertation(1.42 MB)

Date

2024

Authors

Yu, Qianwen

Supervisor

Srivastava, Hari

Item type

Dissertation

Degree name

Master of Business

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Publisher

Auckland University of Technology

Abstract

With the rapid development of artificial intelligence technology, ChatGPT has become an important platform for information exchange and data acquisition. This is a systematic literature review in compliance with PRISMA guidelines and is also a master dissertation. It organises and evaluates existing research results in the field of "Opportunities and Challenges of Privacy Protection in ChatGPT". As for how to conduct this systematic literature review under PRISMA guidelines is to familiarise myself with the PRISMA 2020 checklist and its essential items. I obtain the checklist and explanations for each item from the official PRISMA website or related publications. I also use a systematic and comprehensive approach to search for relevant studies. I will document my search strategy, databases used, search terms, and any filters applied. This is to ensure my search covers the time frame and study designs specified in my protocol. The purpose of this dissertation is to provide as comprehensive information as possible on the risks and opportunities faced by ChatGPT in terms of privacy protection. At the same time, this dissertation also puts forward solution suggestions based on existing literature as much as possible. In general, this graduate dissertation is mainly to help ChatGPT provide scientific strategies in the field of privacy protection, help the healthy development of the network, and protect the security of personal information on the network. As for how to enhance ChatGPT privacy protection, there are many methods. One of the most important thing is how to process data through machine learning algorithms. The second point is whether the network's privacy policy meets the needs. In addition, improve users' privacy protection awareness is also vital. Besides, it is very important to strengthen users' compliance with relevant regulations. At the same time, in response to ChatGPT's privacy protection challenges, the dissertation also discusses how data is collected, how people inadvertently leak their own information, excessive use of artificial intelligence, insufficient transparency of personal information, users' trust in the system, etc. Based on the above, this dissertation will use prospect theory to analyse the topic for graduate dissertation, which will be introduced in the following chapters. The application of prospect theory can provide valuable reference for user behaviour. At the same time, analysing the topic of the dissertation by combining prospect theory can also help solve research problems and provide directions for future development. Finally, in response to the research questions of the paper, at the end of the article, various related literature to summarise a series of suggestions for privacy protection of ChatGPT will be combined. Also, The limitations of the current research and proposed future research directions will also be pointed out. This article contributes to the discussion of privacy issues in the digital generation. The main purpose is to provide users with an easy-to-understand framework and provide some inspiration for future artificial intelligence developers to improve their privacy protection functions.

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Permanent link

http://hdl.handle.net/10292/18628

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Masters Dissertations