Results 71 to 80 of about 2,237 (214)
The rapid advancement of generative artificial intelligence (GenAI) has significantly impacted educational and professional practices, presenting both opportunities and challenges.
Yoram Reich
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Simulating strategic interactions with AI agents
Abstract Research Summary We explore how Large Language Models (LLMs) can serve as synthetic subjects to inform strategy research. We introduce a framework for designing and running simulated experiments with LLM‐powered agents. We argue that this approach is useful for rapid, low‐cost prototyping of human experiments and for generating novel ...
Matteo Tranchero +3 more
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BackgroundGenerative Artificial Intelligence (GenAI) Literacy hold significant implications for pre-professional nursing students’ academic and professional development, potentially influencing their workforce readiness.
Yanfang Zhang +3 more
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Putting GenAI on Notice: GenAI Exceptionalism and Contract Law
Gathering enough data to create sufficiently useful training datasets for generative artificial intelligence requires scraping most public websites. The scraping is conducted using pieces of code (scraping bots) that make copies of website pages. Today, there are only a few ways for website owners to effectively block these bots from scraping content ...
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Using synchrotron‐based multiscale imaging, generative modeling algorithms, and computational mechanics models, our study reveals a scale‐dependent transition in bone mechanics. The results of the power‐scaling law illustrate a transition from density‐controlled stiffness at the trabecular scale to connectivity‐controlled, porosity‐sensitive mechanics ...
Milad Masrouri +3 more
wiley +1 more source
Reflective writing is widely used in health sciences education, but overreliance on generative artificial intelligence (GenAI) could undermine the reflective writing process.
Tori N. Stranges, Meaghan J. MacNutt
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Role of Database in GenAI Applications
Generative AI (GenAI) is transforming industries by enabling intelligent content generation, automation, and decision-making. However, the effectiveness of GenAI applications depends significantly on efficient data storage, retrieval, and contextual augmentation.
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Generative AI—the Transgression of Technology
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
Facilitating System Change With GOSR: Integrating AI and Human Collaboration
ABSTRACT Problem solving in complex domains requires approaches that encourage systems thinking, collaboration, and recognize multiple simultaneous solutions. Building from principles of General Systems Theory and existing problem structuring methods, we present a new method for supporting system partners working to address complex problems called GOSR.
Annika Voltan, Kevin Kells
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Abstract This teaching article explores how microlearning can support TESOL educators in developing the pedagogical and emotional capacities needed to use generative artificial intelligence (GenAI) tools to design and evaluate digital multimodal compositions (DMC).
Lucas Kohnke, Di Zou
wiley +1 more source

