AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How
Veisi, Omid, Bahrami, Sasan, Englert, Roman, Müller, Claudia
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Apr-28-2025
- Country:
- Asia
- China (0.04)
- India (0.04)
- Middle East
- Iran (0.06)
- Saudi Arabia > Northern Borders Province
- Arar (0.04)
- Myanmar > Tanintharyi Region
- Dawei (0.04)
- Taiwan (0.04)
- Europe
- Germany > North Rhine-Westphalia
- Arnsberg Region > Siegen (0.04)
- Norway > Western Norway
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Western Europe (0.04)
- Germany > North Rhine-Westphalia
- North America
- Canada
- British Columbia > Metro Vancouver Regional District
- Vancouver (0.04)
- Ontario > Toronto (0.14)
- British Columbia > Metro Vancouver Regional District
- United States
- Hawaii > Honolulu County
- Honolulu (0.04)
- Minnesota > Hennepin County
- Minneapolis (0.14)
- New York > New York County
- New York City (0.05)
- Oregon > Multnomah County
- Portland (0.04)
- Texas > Travis County
- Austin (0.04)
- Virginia (0.04)
- Hawaii > Honolulu County
- Canada
- Asia
- Genre:
- Personal > Interview (0.93)
- Questionnaire & Opinion Survey (1.00)
- Research Report
- Experimental Study (1.00)
- New Finding (1.00)
- Industry:
- Education (0.92)
- Government (1.00)
- Health & Medicine > Therapeutic Area (0.66)
- Information Technology > Security & Privacy (1.00)
- Law (1.00)
- Media (1.00)
- Social Sector (0.93)
- Technology: