collaborators

5 papers

cs.CY2026

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions

Saleh Afroogh, Syed Ishtiaque Ahmed, Petra Ahrweiler +46

This study provides a cross-disciplinary examination of Explainable Artificial Intelligence (XAI) approaches-focusing on deep neural networks (DNNs) and large language models (LLMs…

q-bio.NC2026

Metacognition Should Be the Scientific Framework for Bounded and Effective Self-Governance in Generative AI

Eugene Yu Ji, Igor Grossmann, Amir-Hossein Karimi

Generative AI research increasingly confronts a shared problem: systems must sustain yet govern their own generative activity when uncertainty is high, evidence is missing, or cont…

cs.AI2026

Your Recourse, My Loss? Algorithmic Recourse under Shared Constraints

Zahra Khotanlou, Kate Larson, Amir-Hossein Karimi

Decision makers are increasingly relying on machine learning in sensitive situations. Algorithmic recourse aims to provide individuals with actionable and minimally costly steps to…

cs.AI2026

Imagining and building wise machines: The centrality of AI metacognition

Samuel G. B. Johnson, Amir-Hossein Karimi, Yoshua Bengio +8

Although AI has become increasingly smart, its wisdom has not kept pace. In this article, we examine what is known about human wisdom and sketch a vision of its AI counterpart. We…

cs.LG2025

Bridging Brain with Foundation Models through Self-Supervised Learning

Hamdi Altaheri, Fakhri Karray, Md. Milon Islam +2

Foundation models (FMs), powered by self-supervised learning (SSL), have redefined the capabilities of artificial intelligence, demonstrating exceptional performance in domains lik…