A company is deciding whether to acquire another business. An artificial intelligence system examines financial records, market data and compliance risks, and recommends that the deal should proceed. The directors approve it. Months later, the acquisition causes serious loss. The board signed the resolution, but the mo...
Ashutosh Mani Pathak· International Journal of Law...· 0 citations
Artificial intelligence (AI) is increasingly integrated into digital commerce through intelligent services that support consumer purchasing. However, limited empirical evidence explains how technology acceptance translates into AI adoption and subsequent online purchase behavior, particularly in digital MSMEs. This stu...
Dewi Novianti, Susanta Susanta, Didik Indarwanta· RSF Conference Series Busine...· 0 citations
Maritime systems operate in highly dynamic environments where unexpected equipment failures can compromise safety, reliability, and operational efficiency. Recent advances in artificial intelligence (AI), machine learning, digital twins, and predictive maintenance enable proactive failure prediction and prevention. How...
Dionisis Kalogeropoulos, Georgia Sovatzidi, P. Kalozoumis et al.· 0 citations
VeriRAN is a lightweight runtime-verified AI-RAN control architecture that separates intelligence from authorization, and uses AI agents as intelligent action proposers that generate radio-aware and service-level-agreement (SLA)-aware decisions.
Osman Tugay Başaran, Falko Dressler· Proceedings of the 3rd ACM W...· 0 citations
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A fully local, autonomous incident-response framework for edge gateways that combines a compact classifier that routes traffic by confidence, a tool-using language-model agent restricted to vetted mitigation actions, and an Explanation Engine grounded in the agent's recorded observations is presented.
Shaghayegh Shajarian, Sajad Khorsandroo, Mahmoud Abdelsalam· Proceedings of the 17th ACM...· 0 citations
This work recovers DU-side scheduling behavior and radio-side execution, including the per-beam and per-layer beamforming weights carried on the C-plane, separating measured quantities from those conditioned on an array hypothesis, and ground an eleven-agent platform in which a language model only interprets measuremen...
Sridhar Rajagopal, Eran Pisek, Gabriele Gemmi et al.· Proceedings of the 3rd ACM W...· 0 citations
This work introduces EIO-Agents, an open specification for interoperable AI agent evaluation built on two layers: EIO provides that missing semantic contract, while PER preserves the resulting evaluation as a portable and verifiable system of record.
It is claimed that future TTRSs, in addition to offering personalized information filtering, should become more flexible advisors that support decision making, integrating multiple data types and AI techniques, from data mining to natural language processing.
Alejandro Bellogín, Linus W. Dietz, Francesco Ricci et al.· 0 citations
BARE-AI, a runtime framework that detects, localizes, and mitigates BFAs during inference, and introduces AI Performance Counters, lightweight hardware monitors in the accelerator datapath that capture per-layer activation statistics such as sparsity, entropy, kurtosis, and spectral shift.
Habibur Rahaman, Swastik Bhattacharya, Sanjay Das et al.· 0 citations
The results show that the GNN model can accurately predict the optimal values of the manipulated variables, and application of explainable AI algorithms reveals equality and inequality constraints that are the most important for predicting the optimal solution.
This study maps how AI ethics is taught within postgraduate/CPD HPE, drawing on principlism, an ethical framework espousing the principles of autonomy, beneficence, non-maleficence and justice and transformative learning theory (TLT), which explains how critical reflection transforms professional assumptions, perspecti...
T. Wong, Ang Yu Chien Constance, M. S. Hussein et al.· The Clinical Teacher· 0 citations
Algorithmic explanations are intended to help stakeholders understand opaque algorithmic decisions, but in practice, they often fall short. First, the meaning of algorithmic explanations is often not what one might intuitively expect, so expert knowledge is required to interpret them correctly. Second, recent work has...
Eric G\"unther, Bal\'azs Szabados, Kristof Meding et al.· 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.
