7 citations · 25 across the 12 of their papers we have counts for
13 papers
Understanding the Process of Human-AI Value Alignment
Jack McKinlay, Marina De Vos, Janina A. Hoffmann +1
Background: Value alignment in computer science research is often used to refer to the process of aligning artificial intelligence with humans, but the way the phrase is used often…
Navigating the sociotechnical labyrinth: Dynamic certification for responsible embodied AI
Georgios Bakirtzis, Andrea Aler Tubella, Andreas Theodorou +2
Sociotechnical requirements shape the governance of artificially intelligent (AI) systems. In an era where embodied AI technologies are rapidly reshaping various facets of contempo…
Negotiating Control: Neurosymbolic Variable Autonomy
Georgios Bakirtzis, Manolis Chiou, Andreas Theodorou
Variable autonomy equips a system, such as a robot, with mixed initiatives such that it can adjust its independence level based on the task's complexity and the surrounding environ…
Clash of the Explainers: Argumentation for Context-Appropriate Explanations
Leila Methnani, Virginia Dignum, Andreas Theodorou
Understanding when and why to apply any given eXplainable Artificial Intelligence (XAI) technique is not a straightforward task. There is no single approach that is best suited for…
Towards an MLOps Architecture for XAI in Industrial Applications
Leonhard Faubel, Thomas Woudsma, Leila Methnani +8
Machine learning (ML) has become a popular tool in the industrial sector as it helps to improve operations, increase efficiency, and reduce costs. However, deploying and managing M…
Robot Health Indicator: A Visual Cue to Improve Level of Autonomy Switching Systems
Aniketh Ramesh, Madeleine Englund, Andreas Theodorou +2
Using different Levels of Autonomy (LoA), a human operator can vary the extent of control they have over a robot's actions. LoAs enable operators to mitigate a robot's performance…