Accelerating Editorial Processes in Scientific Journals: Leveraging AI for Rapid Manuscript Review

Oral Oncology Reports, Journal Year: 2024, Volume and Issue: 10, P. 100511 - 100511

Published: May 21, 2024

Artificial intelligence (AI) integration in business is increasingly recognized for enhancing productivity and efficiency. AI automates routine tasks accelerates decision-making processes, optimizing operations data analysis. This paper discusses the emergence of chat assistants various sectors, focusing on models like GPT-3, Watson Assistant, Dialogflow, Alexa, Siri, Cortana, Google Bard. These exemplify transformative impact technologies everyday life. The study explores AI's role chatbot development, examining how algorithms machine learning facilitate human-like conversations diverse industries. method includes a detailed analysis AI-powered chatbots' customer service, healthcare, e-commerce applications. manuscript also introduces an AI-assisted peer review methodology, employing ChatGPT to analyze comment scientific manuscripts, aiming enhance efficiency quality academic process. selected manuscripts demonstrates potential providing insightful feedback suggestions. showcases can contribute improved quality, increased enhanced accessibility. results highlight importance addressing ethical considerations, including privacy bias, deploying technologies. research illustrates significant revolutionizing processes practices. methodologies represent pivotal advancements their respective fields. underscores need continuous evaluation implications ensure responsible equitable use.

Language: Английский

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The Synthetic Image Crisis in Science

American Journal of Hematology, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Language: Английский

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Applying generative artificial intelligence applications for academic research on firms’ nonlinear internationalization

Review of International Business and Strategy, Journal Year: 2025, Volume and Issue: unknown

Published: May 10, 2025

Purpose This study aims to critically evaluate the applicability of generative artificial intelligence (GenAI) tools for academic research in international business (IB), specifically focusing on topic firms’ nonlinear internationalization. It assesses these tools’ key performance dimensions: correctness, hallucinations and thoroughness. Design/methodology/approach adopts an exploratory approach, examining a comprehensive set GenAI tools: eight chatbots four AI-driven applications designed purposes. The evaluation focuses capabilities limitations generating accurate research-related content IB scholars. Findings finds that while capture some aspects internationalization, they often produce partially and/or biased results. Common issues include providing fictitious sources, incorrect publication data vague or answers. Thus, substantial development is still needed become reliable scientific research. Practical implications Researchers should use with caution, verifying accuracy generated citations independently. A cautious approach crucial maintain integrity quality Social raises awareness about ethical practical challenges using AI academia, including related plagiarism misinformation. underscores importance critical when Originality/value paper contributes emerging literature role by assessment usability current studying complex phenomena. By internationalization as example, it demonstrates how may support hinder scholarship.

Language: Английский

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Herramientas basadas en inteligencia artificial en la publicación científica, ¿herramientas de apoyo o promotoras de malas prácticas?

TecnoLógicas, Journal Year: 2024, Volume and Issue: 27(61), P. e3363 - e3363

Published: Dec. 23, 2024

La inteligencia artificial, esa tecnología que pareciera haber emergido de repente hace apenas unos años, pero lleva varias décadas desarrollo, se ha convertido en uno los temas mayor interés a nivel mundial. Una consulta la muy conocida herramienta Google Trends (https://trends.google.com), nos muestra cómo búsqueda del concepto alcanzó un máximo el mes mayo 2023, tan sólo después lanzamiento GPT-4. Este modelo artificial generativa es capaz simular conversaciones humanas, respuesta preguntas específicas, y permite incluso crear documentos completos con una legibilidad similar textos creados por humanos. Ese mismo mes, también fue actualización como GPT-4o, cual mostró al mundo capacidad para interpretación generación realista texto, imágenes, vídeos voz, más 50 idiomas.

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