16 citations · 25 across the 9 of their papers we have counts for
10 papers
Which Modality Decides? Counterfactual Modality Attribution for Multimodal LLMs
Vahidin Hasic, Chao Wang, Luis C. Garcia-Peraza-Herrera +2
Multimodal large language models (MLLMs) increasingly support high-stakes decision making by combining complementary information from images and text. While existing explainability…
Ontology-Guided Reasoning for Affordance-Based Explanations of Robot Navigation
Amar Halilovic, Vahidin Hasic, Senka Krivic
This paper proposes ontology-guided reasoning for affordance-based explanations of robot navigation. In human environments, it is not sufficient for a robot to detect that its rout…
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind
Mouad Abrini, Omri Abend, Dina Acklin +105
This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…
Towards Probabilistic Planning of Explanations for Robot Navigation
Amar Halilovic, Senka Krivic
In robotics, ensuring that autonomous systems are comprehensible and accountable to users is essential for effective human-robot interaction. This paper introduces a novel approach…
Robot Explanation Identity
Amar Halilovic, Senka Krivic
To bring robots into human everyday life, their capacity for social interaction must increase. One way for robots to acquire social skills is by assigning them the concept of ident…
Understanding Path Planning Explanations
Amar Halilovic, Senka Krivic
Navigation is a must-have skill for any mobile robot. A core challenge in navigation is the need to account for an ample number of possible configurations of environment and naviga…
Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanations
Benjamin Krarup, Felix Lindner, Senka Krivic +1
The continued development of robots has enabled their wider usage in human surroundings. Robots are more trusted to make increasingly important decisions with potentially critical…
Contrastive Explanations of Plans Through Model Restrictions
Benjamin Krarup, Senka Krivic, Daniele Magazzeni +3
In automated planning, the need for explanations arises when there is a mismatch between a proposed plan and the user's expectation. We frame Explainable AI Planning in the context…
Towards Contrastive Explanations for Comparing the Ethics of Plans
Benjamin Krarup, Senka Krivic, Felix Lindner +1
The development of robotics and AI agents has enabled their wider usage in human surroundings. AI agents are more trusted to make increasingly important decisions with potentially…
Towards Explainable AI Planning as a Service
Michael Cashmore, Anna Collins, Benjamin Krarup +3
Explainable AI is an important area of research within which Explainable Planning is an emerging topic. In this paper, we argue that Explainable Planning can be designed as a servi…