Data Ethics and Privacy

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Author(s): Thanaporn Phattanaviroj (Asia University,Taiwan), Massoud Moslehpour (California State University, USA)and Ankita Manohar Walawalkar (Asia University, Taiwan)
Copyright: 2024
Pages: 33
Source title: Challenges in Large Language Model Development and AI Ethics
Source Author(s)/Editor(s): Brij Gupta (Asia University, Taichung City, Taiwan)
DOI: 10.4018/979-8-3693-3860-5.ch010

Keywords: Artificial Intelligence / Data Modeling Languages / Engineering Science Reference / Science & Engineering

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Abstract

The publicity about information does not appear to decrease nor do the disgraces. Confidentiality openings in the collection, use, and distribution of data have affected all the major technology users, be it Facebook, Google, and AI go beyond the business world with administrations, cities, and educational and health organizations. However, with the speedy growth of social media and advanced technology such as mobile phone apps, various investors gather and use great quantities of data, ignoring ethics and privacy. This chapter explores and discusses the ethical considerations surrounding data collection and use, with a specific focus on privacy concerns related to Large Language Model (LLM) training data. The research further discovers topics such as anonymization, data rights, and consensus, aiming to highlight the importance of ethical practices in conducting data. Additionally, the inclusion of case studies on data misuse and privacy breaches serves to provide real-world examples, emphasizing the need for vigilance and responsible approaches in the realm of data collection and utilization.

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