"Trust and Trustworthiness: Privacy Protection in the ChatGPT Era" by Shasha Yu, Fiona Carroll et al.
 

School of Professional Studies

Trust and Trustworthiness: Privacy Protection in the ChatGPT Era

Document Type

Book Chapter

Abstract

The emergence of large language models (LLMs), exemplified by ChatGPT, has ushered in a significant transformation in our interactions with artificial intelligence (AI). However, the widespread integration of AI technologies has raised significant concerns about user privacy protection. To establish a robust relationship between users and AI while safeguarding user privacy, trust and trustworthiness are fundamental factors in building user confidence and ensuring the responsible and ethical use of AI. Within this context, the authors reviewed previous research to examine the current global landscape of public trust in ChatGPT and its evolution over time. Furthermore, this chapter investigates the trustworthiness of AI by examining the risks and threats posed by ChatGPT from technical, legal, and ethical perspectives. The authors also explore the factors that influence user trust in AI, and propose strategies aimed at enhancing the trustworthiness of AI systems in safeguarding user privacy. In doing so, supporting people to be more aware and sensible of what they should and should not trust online with regard to AI. This chapter offers insights to a broad audience, including industry professionals, policymakers, educators, and the general public, all collaborating to achieve a harmonious equilibrium between user trust and AI trustworthiness. The goal is to enable the public to harness the benefits of advanced technology while safeguarding their privacy in the ChatGPT era.

Publication Title

Data Protection: The Wake of AI and Machine Learning

Publication Date

2024

First Page

103

Last Page

127

ISBN

9783031764738

DOI

10.1007/978-3-031-76473-8

Keywords

ChatGPT, trust, trustworthiness, AI, data protection, privacy protection, information security

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