2 papers
cs.LG2026
EviNAM: Intelligibility and Uncertainty via Evidential Neural Additive Models
Sören Schleibaum, Anton Frederik Thielmann, Julian Teusch +2
Intelligibility and accurate uncertainty estimation are crucial for reliable decision-making. In this paper, we propose EviNAM, an extension of evidential learning that integrates…
cs.AI2019
AI for Explaining Decisions in Multi-Agent Environments
Sarit Kraus, Amos Azaria, Jelena Fiosina +7
Explanation is necessary for humans to understand and accept decisions made by an AI system when the system's goal is known. It is even more important when the AI system makes deci…