A position paper argues that post-hoc XAI explanations are unfaithful and paradoxical, proposing a shift to expert-based verification and certification of AI systems.
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et al.: Artificial intelligence: A powerful paradigm for scientific research
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A systematic review of 21 peer-reviewed papers identifies two classification approaches for agentic AI governance (autonomous goal-pursuit and moral agency), synthesizes privacy concerns, and evaluates Singapore's Model AI Governance Framework as the first dedicated agentic AI governance model.
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Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions
A position paper argues that post-hoc XAI explanations are unfaithful and paradoxical, proposing a shift to expert-based verification and certification of AI systems.
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Towards Agentic AI Governance: A Preliminary Assessment
A systematic review of 21 peer-reviewed papers identifies two classification approaches for agentic AI governance (autonomous goal-pursuit and moral agency), synthesizes privacy concerns, and evaluates Singapore's Model AI Governance Framework as the first dedicated agentic AI governance model.