activity
20232025
most citedExplainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

544 citations · 548 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2025

Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC Research

Lorenz Meinen, Astrid Schomäcker, Stefanie Wiedemann +5

The emergence of deepfake technologies offers both opportunities and significant challenges. While commonly associated with deception, misinformation, and fraud, deepfakes may also…

cs.SE2025★ 1 cited

On the Need to Rethink Trust in AI Assistants for Software Development: A Critical Review

Sebastian Baltes, Timo Speith, Brenda Chiteri +3

Trust is a fundamental concept in human decision-making and collaboration that has long been studied in philosophy and psychology. However, software engineering (SE) articles often…

cs.HC2025

"Make the Voodoo Box Go Bleep Bloop:" Exploring End Users' Understanding and Information Needs Regarding Microchips

Julian Speith, Steffen Becker, Timo Speith +4

Microchips are fundamental components of modern electronic devices, yet they remain opaque to the users who rely on them daily. This opacity, compounded by the complexity of global…

cs.LG2024★ 3 cited

Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle

Luca Deck, Astrid Schomäcker, Timo Speith +3

The widespread use of artificial intelligence (AI) systems across various domains is increasingly surfacing issues related to algorithmic fairness, especially in high-stakes scenar…

cs.AI2023★ 544 cited

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

Luca Longo, Mario Brcic, Federico Cabitza +16

As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In respo…