OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 16.05.2026, 02:48

Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.

GPT Alumni AI Pesquisa: A Practical Tutorial for the Adoption and Ethical Use of AI in Scientific Research

2024·5 Zitationen·Review of Artificial Intelligence in EducationOpen Access
Volltext beim Verlag öffnen

5

Zitationen

3

Autoren

2024

Jahr

Abstract

Objective: This tutorial introduces the use of Alumni AI Pesquisa, a chatbot based on GPT-4, publicly available on the OpenAI platform, designed to support the ethical and transparent use of Artificial Intelligence (AI) in academic research. The aim is to guide authors, editors, and reviewers in the responsible application of AI, ensuring scientific integrity throughout the editorial process. Method: The tutorial provides a step-by-step guide on how to access and utilize Alumni AI Pesquisa. The GPT-4 offers guidance on the ethical use of AI in academic writing, the oversight of editorial decisions assisted by AI, as well as compliance with editorial guidelines and manuscript formatting. Correct usage of AI is promoted through practical examples and references to global best practices. Results: Alumni AI Pesquisa provides immediate support tailored to different user profiles (authors, editors, and reviewers), encouraging transparent AI use in manuscripts. The tool ensures that AI-assisted decisions are validated by human supervisors, guaranteeing adherence to ethical and technical standards. Conclusions: Publicly available on the OpenAI platform, Alumni AI Pesquisa, powered by GPT-4, significantly contributes to the promotion of scientific integrity by facilitating responsible AI use in the academic environment. It is recommended that the use of the tool be cited in publications, explicitly mentioning the version (GPT-4).

Ähnliche Arbeiten

Autoren

Themen

Artificial Intelligence in Healthcare and EducationOnline Learning and AnalyticsCOVID-19 diagnosis using AI
Volltext beim Verlag öffnen