544 citations · 547 across the 4 of their papers we have counts for
4 papers · 1 filter
Model Science: getting serious about verification, explanation and control of AI systems
Przemyslaw Biecek, Wojciech Samek
The growing adoption of foundation models calls for a paradigm shift from Data Science to Model Science. Unlike data-centric approaches, Model Science places the trained model at t…
Blockchain and Artificial Intelligence: Synergies and Conflicts
Leon Witt, Armando Teles Fortes, Kentaroh Toyoda +2
Blockchain technology and Artificial Intelligence (AI) have emerged as transformative forces in their respective domains. This paper explores synergies and challenges between these…
Position: Explain to Question not to Justify
Przemyslaw Biecek, Wojciech Samek
Explainable Artificial Intelligence (XAI) is a young but very promising field of research. Unfortunately, the progress in this field is currently slowed down by divergent and incom…
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…