AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How
This research addresses ethical challenges for deploying LLMs in healthcare and social computing, but it is incremental as it focuses on empirical evaluation without novel solutions.
The study investigated whether ChatGPT adheres to ethical and social norms in real-world contexts, identifying key issues such as bias and transparency through surveys and expert interviews.
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 everyday life tools. 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.