Constructing a Socio-Legal Framework Proposal for Governing Large Language Model Usage and Application in Education

Social Sciences, Год журнала: 2024, Номер 13(9), С. 479 - 479

Опубликована: Сен. 9, 2024

Due to the fast-changing environments caused by artificial intelligence development, socio-technical challenge in contemporary educational systems focuses on need for more regulative measures guiding system stakeholders’ behavior. In fulfilling present legal gap, enacted soft law regulation has been laid out, and a detailed systematic literature review was conducted paper presented. The specific methodological approach selected deal with two crucial research tasks: reveal recommend fundamental governing mechanisms regarding use application of generative intelligence; precisely, large language models systems. Three systematically guided layers quantitative qualitative content analysis central policy, legislation, regulatory AI education were extracted from 142 Scopus Database Web Science papers analyzed These findings benefit policymakers, legislative bodies, agencies constructing frames using applying education.

Язык: Английский

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Bibliometric Top Ten Healthcare Related ChatGPT Publications in Scopus, Web of Science, and Google Scholar in the First ChatGPT Anniversary (Preprint)

Опубликована: Дек. 1, 2023

Since its public release on 30 November 2022, ChatGPT has shown a promising potential in diverse healthcare applications, despite challenges related to ethics, privacy issues, and possible biases. Bibliometric analysis is useful tool assess the themes recommendations of most cited publications field utility healthcare, newly emerging research topic. To identify top ten different scientific databases future trajectory needed based these influential papers. The study employed an advanced search three databases: Scopus, Web Science, Google Scholar ChatGPT-related records education, research, practice between 27 2023. Ranking was retrieved citation count each database. Other metrics evaluated included Semantic highly citations, PlumX metrics, Altmetric Attention Scores (AASs). A total 22 unique published 17 journals from 14 publishers were identified databases. Only two found 10 list across Variable publication types with common being editorial/commentary (n=8/22, 36.4%). Nine out had corresponding authors affiliated institutions United States (40.9%). range varied per database highest (1019–121), Scopus (242–88), Science (171–23). Significant positive correlations detected citations (Spearman’s correlation coefficient (ρ)=.840, P<.001), captures (ρ=.831, mentions (ρ=.609, P=.004), AASs (ρ=.542, P=.009). papers recommended exploring use streamlining clinical workflow, investigation ethical use, usefulness medical writing, mitigating misinformation risks. Despite several acknowledged limitations, bibliometric this showed evolving landscape highlighted trajectories swiftly subject. This need for more rigorous studies evaluate performance as aid ability enhance workflow. There urgent collaborative initiatives by all stakeholders involved establish guidelines ethical, transparent, responsible healthcare.

Язык: Английский

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LLM-Augmented Agent-Based Modelling for Social Simulations: Challenges and Opportunities

Frontiers in artificial intelligence and applications, Год журнала: 2024, Номер unknown

Опубликована: Июнь 5, 2024

As large language models (LLMs) continue to make significant strides, their better integration into agent-based simulations offers a transformational potential for understanding complex social systems. However, such is not trivial and poses numerous challenges. Based on this observation, in paper, we explore architectures methods systematically develop LLM-augmented discuss research directions field. We conclude that integrating LLMs with powerful toolset researchers scientists, allowing more nuanced, realistic, comprehensive of systems human behaviours.

Язык: Английский

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Development and Prospect of ChatGpt in the Medical Field

Transactions on Computer Science and Intelligent Systems Research, Год журнала: 2024, Номер 5, С. 942 - 946

Опубликована: Авг. 12, 2024

In the current era, there exists an uneven distribution of global medical resources, making it a crucial focal point for digital transformation. This paper aims to explore application status, potential challenges, and future development prospects ChatGPT, large language model based on OpenAI, in field medicine. Given scarcity this study analyzes existing use cases examines ethical regulatory environment surrounding ChatGPT under Transformer within specialties like orthopedics ophthalmology. The findings propose that its present advantages lie ability support multiple languages while enhancing efficiency quality services. Furthermore, measures should be taken reinforce privacy security protocols data usage ensuring considerations are met. Additionally, is recommended advancements focus deepening knowledge base developing more specialized modules.

Язык: Английский

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ChatGPT as a Decision Support Tool in the Management of Chiari I Malformation: A Comparison to 2023 CNS Guidelines

World Neurosurgery, Год журнала: 2024, Номер 191, С. e304 - e332

Опубликована: Авг. 28, 2024

Язык: Английский

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