A framework for sustainable, human-centered integration of AI is proposed in which AI is restricted to technical veri�cation and ef�ciency, while judgments on scienti�c merit, ethics, and paradigm-shifting research are reserved for appropriately valued human experts.
A framework for sustainable, human-centered integration of AI is proposed in which AI is restricted to technical verification and efficiency, while judgments on scientific merit, ethics, and paradigm-shifting research are reserved for appropriately valued human experts.
An AI-enabled lifecycle of Creation, Transformation, Transmission, Evaluation, Evaluation, and Governance is proposed and an AI-eWOM fit perspective is developed and a TCCM-organized research agenda identifies priorities for future research.
A. Joyal· Journal of business and mana...· 0 citations
Reviewerly's retrieval-centered infrastructure for auditing peer review at scale is presented and three deployed systems are described, including three deployed systems that analyzes hybrid human--AI authorship by disentangling the origin of ideas from the origin of text in peer reviews, enabling measurement of how hum...
Negar Arabzadeh, Sajad Ebrahimi, Alireza Daghighfarsoodeh et al.· Annual International ACM SIG...· 1 citation
A structured review of research on responsible LLMs in finance using a broad-to-narrow screening process across Web of Science and Scopus, reported with reference to the applicable PRISMA 2020 items is provided.
The thematic analysis demonstrates that while AI tools offer significant educational benefits — such as learning personalization, enhanced language acquisition, and the automation of administrative workloads — they present critical pedagogical and ethical challenges.
Fatma Maamri· Journal of education and sci...· 0 citations
A forward-looking framework centered on three concrete proposals is proposed: a three-tiered disclosure system (assistive, augmentative, substantive) integrated with the CRediT taxonomy; a four-stage artificial intelligence co-editor model for deploying LLM-based tools within editorial workflows under transparent gover...
Hyejin Joo, Munkhzul Radnaabaatar, Jaehun Jung· Journal of Korean medical sc...· 4 citations· ⚡1
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