This study examines the perspectives of managers from two different cultures, the United States and Colombia, on the impacts of artificial intelligence (AI) on the workplace. It focuses on organizational cultural adjustment and the protection of core values while enabling AI deployment. As organizations continue to int...
Mahmoud Watad, Cesar Perez-Alvarez, Neirouz Watad et al.· Change Management An Interna...· 0 citations
Purpose This study aims to examine how familiarity with artificial intelligence (AI), motivation and organizational support for AI, and demographic characteristics influence the perceived AI effectiveness among a sample of European auditors, as well as the moderating role of education on these relationships. Design/met...
Sandra Khalil, Samer Murshid· Journal of financial reporti...· 0 citations
Introduction: The integration of Artificial Intelligence (AI) into Early Childhood Education (ECE) represents a transformative paradigm shift globally, yet Nigeria's ECE sector remains critically underexplored in this domain. Problem: Despite AI's demonstrated potential to enhance foundational literacy, numeracy, and...
Onyung Sandra Effiong, Orji Cyrus Ebere, Agu Mercy Oluchi et al.· International Journal of Inn...· 0 citations
Abstract Rapid advances in oncology care have resulted in a growing population of cancer survivors, many of whom suffer from short- and long-term cancer therapy related cardiovascular toxicities (CTR-CVT). Cardio-oncology aims to diagnose and manage these cardiovascular conditions, but part of the challenge pertains to...
Jacob Krive, Aarti H. Asnani, Paaladinesh Thavendiranathan et al.· European Heart Journal – Car...· 0 citations
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This article examines how Polish social work practitioners perceive artificial intelligence (AI), the extent of its adoption, and the hopes and concerns linked to its use. In December 2025, a nationwide Computer-Assisted Web Interview (CAWI) survey was conducted with 1,243 social workers and managers employed in social...
Ryszard Necel· Journal of Social Work Pract...· 0 citations
Background Think-aloud traditionally has been conceptualized as a means of accessing cognitive processes through verbal report. The nine studies in this special issue reveal a broader methodological transition in which verbal protocols increasingly are combined with eye tracking, retrospective cueing, classroom observa...
Anthony John Onwuegbuzie· Learning and Instruction· 0 citations
Demography plays a crucial role in understanding the adoption of Artificial Intelligence (AI) in Nigerian Higher institutions as different demographic factor can influence the rate and extent of the adoption. This paper analyzed Demography and adoption of AI in Nigerian Higher institutions with the focus of examining t...
Dangana-Onuche,, Gloria Ojonoka, Emaojo Blessing PhD Maha, Unekwu Grace Oguche et al.· International Journal of Sci...· 0 citations
Artificial intelligence (AI) increasingly participates in communication, decision-making, and collective action, making the social organisation of human–machine interaction central to Hybrid Intelligence (HI). This chapter reviews the behavioural sociology of humans and machines through an HI lens, examining how intera...
Artificial intelligence is accelerating materials discovery, yet for complex systems such as high-entropy alloys, exhaustive exploration of their immense composition spaces is computationally intractable. Here we propose an integrated framework that enables large-scale exploration with reduced resource demands. Our f...
Xiao-Ya Huang, Yu Liu, Shuo Shi et al.· Nature Communications· 0 citations
Recent advances in artificial intelligence (AI) have largely been driven by large language models, deep neural networks that operate over discrete units called tokens. To represent text, most large language models use words or word fragments as the tokens, known as subword tokenization1. Subword tokenization obscures f...
Benjamin Minixhofer, Tyler Murray, Tomasz Limisiewicz et al.· Nature· 1 citation
Personalized drug exposure The concept of precision dosing is the next generation of drug-based therapy, which stops at a stereotyped regimen and gets triggered by targeted biological, clinical, and digital data streams that are unique to each patient. The use of pharmacometrics, real-time therapeutic drug monitoring,...
Rajan Ethiraj Ugandar, Rangu Naga Sai Sindhuja, Regati Pujitha Reddy et al.· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) is becoming an enterprise-level capability rather than a stand-alone technology, but firms differ substantially in their ability to convert AI resources into sustained innovation performance. This study proposes a conditional process model in which AI capability enhances enterprise innovati...
Sun Hong· International Journal of Soc...· 0 citations
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
