Artificial intelligence (AI) technologies are increasingly integrated into daily life. While offering significant benefits, their excessive use may trigger problematic patterns resembling behavioral addictions. Despite these concerns, no standardized instrument currently exists to assess AI-related addictive tendencies...
Vision-language models (VLMs) such as CLIP are increasingly integrated into automated decision-making systems where unexamined social biases can directly harm racial and gender minorities through discriminatory outcomes and unjust content censorship. Despite strong multimodal performance, CLIP's susceptibility to demog...
Tesnim Gülsen, Pınar Uluer· Proceedings of the AAAI/ACM...· 0 citations
We prove that the standard Cayley graph of every finite-rank Coxeter system has trivial A-homotopy groups in all degrees at least two. The argument replaces the Coxeter group by the right-angled Coxeter group that retains exactly its commuting relations. All short closed walks lift to the resulting cover, while every f...
Alper Ferudun· Zenodo (CERN European Organi...· 0 citations
Protocol of a systematic literature review, registered before the searches are run. The review maps how AI-based decision-support systems integrate data pipelines, machine-learning and relational inference, explainability, decision-support interaction, and human oversight, to ground a reference architecture for scalabl...
farah torkhani· Zenodo (CERN European Organi...· 0 citations
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This work proposes a novel methodology that advances carefully-controlled tests of counterfactual explanations for time series classification and results indicate that counterfactual explanations elicit improved domain understanding and higher confidence in people in comparison to factual explanations.
Eoin Delaney, Greta Warren, Derek Greene et al.· Proceedings of the AAAI/ACM...· 0 citations
Online scams increasingly leverage fluent and context-aware social-engineering strategies, creating growing demand for AI systems that explain why a message may be risky. However, explanations that cite detector-derived evidence may still semantically weaken or redirect the intended risk interpretation. We introduce VE...
Heajun An, Connor Ng, Sandesh Sharma Dulal et al.· Proceedings of the AAAI/ACM...· 0 citations
Abstract The oil&gas sector increasingly depends on agile, reliable, and explainable workflow automation to support production and operations activities such as wellbore fault diagnostic, maintenance, and pipeline scheduling. However, existing genAI-based agents technologies are limited by complex workflow forming, lac...
H. Chen, L. Zhao, H. Jiang et al.· SPE Asia Pacific Oil & Gas C...· 0 citations
Emotion regulation is a key construct in mental health, yet existing measures differ in conceptual coverage, with some focusing on specific strategies or regulatory difficulties rather than broader cognitive, behavioral, and contextual regulation processes. This study aimed to develop an Emotion Regulation Scale (ERS)...
I. Almohammadi, Malak A. Alzahrani· BMC Psychology· 0 citations
Machine learning systems increasingly make life-changing decisions about individuals, such as loan approvals, hiring, and cheating detection, raising a pressing question: how can individuals respond to negative decisions made by these opaque systems? While explainable artificial intelligence (XAI) has largely focused o...
Timo Freiesleben, Kristof Meding, Gunnar König· Proceedings of the AAAI/ACM...· 0 citations
The harms in which AI is implicated range in nature and scope from unsafe user interactions through to the societal-wide consequences of AI adoption. Classification of the diverse risks of AI is foundational to AI governance: regulators, technology firms, and policymakers need structured accounts of risk upon which to...
Glen Berman, Ned Cooper, Angel Hsing‐Chi Hwang et al.· Proceedings of the AAAI/ACM...· 0 citations
When algorithms make or influence consequential decisions—about loan eligibility, hiring, or healthcare—EU law grants affected individuals a Right to Explanation. Yet whether (and how) Explainable AI (XAI) can satisfy this right in practice remains poorly understood, with direct implications for individuals' ability to...
Benjamin Frész, Elena Dubovitskaya, Marco F. Huber· Proceedings of the AAAI/ACM...· 0 citations
Generative AI systems are increasingly deployed in high-stakes professional contexts, where their outputs shape what users believe, how they reason, and what they treat as settled. This raises a central question for responsible AI: under what conditions is reliance on generative AI outputs epistemically warranted rathe...
Nimisha Karnatak, Max Van Kleek, Nigel Shadbolt· Proceedings of the AAAI/ACM...· 0 citations
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
