activity
20202025
most citedThe Value of Measuring Trust in AI - A Socio-Technical System Perspective

8 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

A Trustworthiness-based Metaphysics of Artificial Intelligence Systems

Andrea Ferrario

Modern AI systems are man-made objects that leverage machine learning to support our lives across a myriad of contexts and applications. Despite extensive epistemological and ethic…

cs.HC2022★ 7 cited

"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics

Michaela Benk, Raphael Weibel, Stefan Feuerriegel +1

Immersive analytics has the potential to promote collaboration in machine learning (ML). This is desired due to the specific characteristics of ML modeling in practice, namely the…

cs.HC2022★ 1 cited

Creative Uses of AI Systems and their Explanations: A Case Study from Insurance

Michaela Benk, Raphael Weibel, Andrea Ferrario

Recent works have recognized the need for human-centered perspectives when designing and evaluating human-AI interactions and explainable AI methods. Yet, current approaches fall s…

cs.HC2022★ 8 cited

The Value of Measuring Trust in AI - A Socio-Technical System Perspective

Michaela Benk, Suzanne Tolmeijer, Florian von Wangenheim +1

Building trust in AI-based systems is deemed critical for their adoption and appropriate use. Recent research has thus attempted to evaluate how various attributes of these systems…

cs.AI2020

A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations

Andrea Ferrario, Michele Loi

Counterfactual explanations are a prominent example of post-hoc interpretability methods in the explainable Artificial Intelligence research domain. They provide individuals with a…