巡回 发表于 2025-3-30 08:59:02
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Morality Beyond the Lines: Detecting Moral Sentiment Using AI-Generated Synthetic Contexte Pre-trained Transformer (GPT-2) that uses deep learning to produce human-like text—to generate a new story. A human writer would usually provide several prompting sentences, and the GPT model would produce the rest of the story. To customize the GPT-2 model towards a specific domain―for this paperDetonate 发表于 2025-3-30 18:52:46
A Contextual Bayesian User Experience Model for Scholarly Recommender Systemstter UX with SRSs. The aim of this paper is to operationalize relevant contexts and to design a Bayesian UM for assisting the diagnosis of scholars’ information needs in terms of accurate, novel, diverse, and popular research papers. The proposed user model can be embedded in the process of recommenSubjugate 发表于 2025-3-30 21:27:28
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Design Intelligence - Taking Further Steps Towards New Methods and Tools for Designing in the Age ofin a list of considerations to be taken into account when designing for AI. As a second step, the paper analyses Human-Centered-AI principles which are proposed as a solution to the design challenges imposed by AI. By mapping the list of challenges to the solutions, this work seeks to initiate a nex清洗 发表于 2025-3-31 13:03:56
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Tool or Partner: The Designer’s Perception of an AI-Style Generating Serviceopinions on the interpretation criteria for instrumental recognition of artists and the evaluation of AI artworks by experts in related fields to date. Based on this, we hope to spark interdisciplinary discussions about responsibilities of AI’s current instrumental use; further, we explore new partnfaucet 发表于 2025-3-31 20:26:30
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Anna M. Agathangelou,Kyle D. Killianpomorphism as predictive processes, how they are similar, and how they differ. Then, how each may be considered in the design of human-centered AI systems is discussed, including some future research directions.