arXiv AI By Tom Beyer, Svea Wisy, Sven Tomforde

Self-Explainability in Self-Adaptive and Self-Organising Systems: Status and Research Directions

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arXiv:2606. 09568v1 Announce Type: new Abstract: The growing complexity of self-adaptive and self-organising systems, fuelled by advances in Artificial Intelligence (AI), has made them increasingly difficult to understand and trust.

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arXiv Computation and Language
Sep 7

From Plausible to Actionable: A Position on LLM Self-Explanations

The paper discusses how Large Language Models can produce natural language self‑explanations that appear plausible but may not accurately reflect the model’s reasoning. It critiques current evaluation methods for such explanations and offers practical guidelines to assess their plausibility and faithfulness. Additionally, it argues that evaluation should also consider the actionability of these explanations, showing how they can aid decision‑making for various stakeholders.

By Elize Herrewijnen, Benedetta Muscato, Gizem Gezici, Fosca Giannotti