A systematic literature review analyzing 111 papers from scientific databases on integrating AI with MCDM/A methods offers both a conceptual consolidation for scholars and a structured foundation for the design of next-generation, human-centered intelligent decision support systems (IDSS).
Bruno Cicciú, E. Frej, A. D. de Almeida· IMA Journal of Management Ma...· 1 citation
Generative artificial intelligence (GenAI) and digital media have rapidly become central to how students study, yet journalism students, whose profession is defined by verification, accuracy, and originality, remain under-researched, particularly in the high-stakes context of examination preparation and in settings out...
Mercy Munene· Journal of Visual and Perfor...· 0 citations
Although expression-based omics has greatly contributed to biological research, the biochemical state of cells or tissues cannot be fully explained by transcript or gene expression data alone. This systematic review investigated when matrix-assisted laser desorption/ionisation (MALDI)-based approaches can support the i...
Dorota Bartusik‐Aebisher, Izabella Wilk, Blassan P. George et al.· Biophysica· 0 citations
Most teams believe AI requires tearing out legacy infrastructure. David Ohnstad explains why this myth costs companies weeks of debate and delayed shipping. Your existing SaaS foundation can support enterprise AI—here's how. Full article: https://davidohnstad.net/enterprise-ai-platform-replacement-myths/
David Ohnstad· Zenodo (CERN European Organi...· 0 citations
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Explainable AI (XAI) has emerged as a critical area of research, driven by the need for trust and accountability in increasingly complex AI systems. However, many existing XAI techniques offer only superficial explanations, often failing to capture the underlying causal mechanisms driving AI decisions. This paper propo...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
The findings indicate that the competencies of teachers for artificial intelligence should be viewed as a multidimensional basis for further research, improvement of teaching practice, and planning of professional development in the field of application of AI in education.
Aleksandra Milanović, Jelena Maksimović, L. Stošić· Education sciences· 0 citations
Ethical implications are derived for the individual production of historical content with AI and for the role of distribution platforms, and the analytical limits of the case are discussed in order to open an empirical research agenda in this emerging field.
Cristian Londoño-Proaño· Frontiers in Communication· 0 citations
The purpose of the article is to substantiate a methodological approach to the intellectualization of enterprise administration through the economics of managerial decision-making, rather than by the number of AI tools implemented. The methodology combines systems and institutional perspectives, decision theory under r...
Г. М. Рижакова, Артем Фесун, О. М. Лавриненко· Ukrainian Journal of Applied...· 0 citations
Abstract Background Artificial intelligence (AI) has shown substantial potential in tuberculosis (TB). However, physicians’ distrust of “black-box” algorithms remains a major barrier to clinical adoption. Although explainable AI (XAI) has emerged to enhance transparency, limited evidence exists regarding TB physicians’...
Jiale Zhang, Qian Fu, Sixian Du et al.· BMC Infectious Diseases· 0 citations
SERVING TODAY’S SYSTEM NOW MEANS SERVING HUMANITY’S SELF-DESTRUCTION There was a time when the system needed human beings. It needed their labor, their attention, their imagination, their obedience, and their bodies. It needed workers to produce value, consumers to absorb it, soldiers to defend it, voters to legitimize...
Mahmudjon Kuchkarov· Zenodo (CERN European Organi...· 0 citations
Cybersecurity threat detection systems are increasingly reliant on Artificial Intelligence (AI) models, but these systems frequently operate as "black boxes," making it difficult for human analysts to understand *why* a particular activity is flagged as a threat. This paper proposes a novel Explainable AI (XAI) system...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
