Generative AI—the Transgression of Technology
Systems Research and Behavioral Science, EarlyView.ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley +1 more source
, 2019 La inteligencia artificial (IA) permite, a partir de algoritmos, crear recursos que simulen la capacidad del ser humano. La creación de un chatbot no es más que un sistema que piensa racionalmente dentro de lo debido, pero la pregunta es, ¿Es posible crear un sistema racional escalable?.
openaire +1 more source
A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems
Systems Engineering, EarlyView.ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley +1 more source
Comparison of the performance of ChatGPT-5, Gemini 3, Copilot, Perplexity, and medical students in answering neurology questions: a cross-sectional study. [PDF]
Sci RepKhosravi M +4 more
europepmc +1 more source
Chatbots Mitigate Help-Seeking Avoidance
This research explores the transformative role of large language model (LLM) chatbots in fostering help-seeking behaviors among introverted and underrepresented students in educational settings. Despite the importance of help-seeking for academic success,
Schuetzler, Ryan +5 more
core
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
Systems Engineering, EarlyView.ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
Comparing AI Chatbots to Live Practitioners of Homeopathy: A Comparative Retrospective Study. [PDF]
Healthcare (Basel)Doherty R +4 more
europepmc +1 more source
Proctoring in a Second Language: Exploring Fairness and Justice in Remote English Language Testing
TESOL Quarterly, EarlyView.Abstract Remote proctoring is increasingly common in English language testing (Isbell & Kremmel, 2020), yet it often requires communication in the target language, unlike in‐person centers that may offer support in test‐takers' first language. Although prior studies have noted communication challenges in remote testing environments (Green & Lung, 2021;
Jieun Kim
wiley +1 more source
Evaluation of the accuracy, quality, and readability of large language models on local anesthesia and general anesthesia-sedation in dentistry. [PDF]
BMC AnesthesiolÖzüdoğru S, Tokgöz Kaplan T.
europepmc +1 more source
Thunderbird International Business Review, EarlyView.ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley +1 more source