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Context, Utility and Influence of an Explanation
AI developers can create ethical systems that benefit society by considering contextual factors like societal norms and values.
Do intermediate feature coalitions aid explainability of black-box models?
This work introduces the notion of intermediate concepts based on levels structure to aid explainability for black-box models.
Online Handbook of Argumentation for AI: Volume 3
This volume contains revised versions of the papers selected for the third volume of the Online Handbook of Argumentation for AI (OHAAI).
Towards Preserving Semantic Structure in Argumentative Multi-Agent via Abstract Interpretation
Over the recent twenty years, argumentation has received considerable attention in the fields of knowledge representation, reasoning, and multi-agent systems.
Explainability in autonomous pedagogically structured scenarios
We present the notion of explainability for decision-making processes in a pedagogically structured autonomous environment.
Modelling Control Arguments via Cooperation Logic in Unforeseen Scenarios
The intent of control argumentation frameworks is to specifically model strategic scenarios from the perspective of an agent by extending the standard model of argumentation framework in a way that takes unquantified uncertainty regarding arguments and attacks into account.
