6 papers
Operationalizing AI: Empirical Evidence on MLOps Practices, User Satisfaction, and Organizational Context
Stefan Pasch
Organizational efforts to utilize and operationalize artificial intelligence (AI) are often accompanied by substantial challenges, including scalability, maintenance, and coordinat…
Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction
Stefan Pasch, Min Chul Cha
As AI systems become increasingly embedded in organizational workflows and consumer applications, ethical principles such as fairness, transparency, and robustness have been widely…
Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products
Stefan Pasch
With the growing importance of AI governance, numerous high-level frameworks and principles have been articulated by policymakers, institutions, and expert communities to guide the…
AI vs. Human Judgment of Content Moderation: LLM-as-a-Judge and Ethics-Based Response Refusals
Stefan Pasch
As large language models (LLMs) are increasingly deployed in high-stakes settings, their ability to refuse ethically sensitive prompts-such as those involving hate speech or illega…
LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot Arena
Stefan Pasch
LLM safety and ethical alignment are widely discussed, but the impact of content moderation on user satisfaction remains underexplored. In particular, little is known about how use…
Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI Products
Stefan Pasch, Sun-Young Ha
Human-AI Interaction (HAI) guidelines and design principles have become increasingly important in both industry and academia to guide the development of AI systems that align with…