Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Assessing the use of ChatGPT among agri-food researchers: A global perspective
2
Zitationen
5
Autoren
2024
Jahr
Abstract
This study examines the adoption of ChatGPT among agri-food researchers and experts across 61 countries, applying the Theory of Planned Behavior (TPB) to evaluate the key determinants of this adoption. Based on a quantitative methodology, an online survey was distributed to assess respondents' attitudes, subjective norms, perceived behavioral control, and willingness to utilize ChatGPT in their research practices. The findings reveal a predominantly positive attitude towards ChatGPT, with many participants acknowledging its potential to enhance research productivity through editing, translation, and communication tasks. However, subjective norms were found to have a lower influence, suggesting limited external pressure from peers or institutions to integrate ChatGPT. Path analysis demonstrated significant direct and indirect effects of attitude, subjective norms, and perceived behavioral control on willingness to adopt ChatGPT, with a Goodness of Fit index of 0.748 supporting the model's robustness. The study emphasizes the need for heightened awareness and advocacy within academic communities, along with targeted training and support to enhance perceived behavioral control and address concerns about the accuracy and reliability of outputs generated through artificial intelligence (AI). These insights provide valuable contributions to understanding the factors shaping the adoption of AI tools in academic research, particularly within the agri-food sector. Future research should explore the evolving landscape of AI adoption, regional and disciplinary differences, and the ethical considerations surrounding AI technologies. Addressing these issues will enable researchers to better harness the transformative potential of tools like ChatGPT to advance their work in agri-food research. • Adoption of ChatGPT in agri-food research shows positive attitudes and perceived benefits. • Subjective norms exhibit lower influence, suggesting less peer pressure to use ChatGPT. • Path analysis reveals significant direct and indirect effects on willingness to use ChatGPT. • Study spans 61 countries, providing a global perspective on ChatGPT adoption in research. • Findings highlight the need for increased AI awareness, training, and ethical guidelines.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.214 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.071 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.429 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.418 Zit.