47 citations · 77 across the 4 of their papers we have counts for
4 papers
To Trust or Distrust Trust Measures: Validating Questionnaires for Trust in AI
Nicolas Scharowski, Sebastian A. C. Perrig, Lena Fanya Aeschbach +4
Despite the importance of trust in human-AI interactions, researchers must adopt questionnaires from other disciplines that lack validation in the AI context. Motivated by the need…
Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study
Nicolas Scharowski, Michaela Benk, Swen J. Kühne +2
Auditing plays a pivotal role in the development of trustworthy AI. However, current research primarily focuses on creating auditable AI documentation, which is intended for regula…
Distrust in (X)AI -- Measurement Artifact or Distinct Construct?
Nicolas Scharowski, Sebastian A. C. Perrig
Trust is a key motivation in developing explainable artificial intelligence (XAI). However, researchers attempting to measure trust in AI face numerous challenges, such as differen…
Trust and Reliance in XAI -- Distinguishing Between Attitudinal and Behavioral Measures
Nicolas Scharowski, Sebastian A. C. Perrig, Nick von Felten +1
Trust is often cited as an essential criterion for the effective use and real-world deployment of AI. Researchers argue that AI should be more transparent to increase trust, making…