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AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How
Conference proceeding   Open access

AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How

Omid Veisi, Sasan Bahrami, Roman Englert and Claudia Müller
Proceedings of the ACM on human-computer interaction, v 9(7), pp 1-34
16 Oct 2025
DOI: https://doi.org/10.1145/3757397
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https://doi.org/10.1145/3757397View
Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2025CC BY V4.0,  Open

Abstract

Cross-computing tools and techniques Empirical studies Formal methods and theory of security General and reference Human and societal aspects of security and privacy Reliability Security and privacy Social aspects of security and privacy Trust frameworks
Using LLMs in healthcare, Computer-Supported Cooperative Work, and Social Computing requires the examination of ethical and social norms to ensure safe incorporation into human life. We conducted a mixed-method study, including an online survey with 111 participants and an interview study with 38 experts, to investigate the AI ethics and social norms in ChatGPT as an everyday life tool. This study aims to evaluate whether ChatGPT in an empirical context operates following ethics and social norms, which is critical for understanding actions in industrial and academic research and achieving machine ethics. The findings of this study provide initial insights into six important aspects of AI ethics, including bias, trustworthiness, security, toxicology, social norms, and ethical data. Significant obstacles related to transparency and bias in unsupervised data collection methods are identified as ChatGPT's ethical concerns.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Computer Science, Cybernetics
Computer Science, Information Systems
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