What is it about?
This study explores the use of generative artificial intelligence tools, such as ChatGPT, by researchers in their professional environments. Through regression analysis, it examines factors like gender, career stage, type of workplace, and perceived barriers to AI adoption. The results show that perceived barriers lead to increased AI usage, while a lack of training resources decreases usage. There are also notable differences in usage based on gender, sector, and career stage.
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Why is it important?
The findings offer valuable insights for academic and government institutions, as well as tech companies. By identifying perceived barriers and facilitators of AI use, this study can inform policies and training programs to encourage more equitable and efficient adoption of AI technologies in research settings.
Perspectives
With the growing integration of AI in research, this study seeks to better understand the factors influencing its frequent use. As AI becomes more essential in scientific research, identifying obstacles and facilitators of AI adoption can help design more effective strategies for broader uptake.
Pablo Dorta-González
Universidad de Las Palmas de Gran Canaria
Read the Original
This page is a summary of: Generative artificial intelligence usage by researchers at work: Effects of gender, career stage, type of workplace, and perceived barriers, Telematics and Informatics, October 2024, Elsevier,
DOI: 10.1016/j.tele.2024.102187.
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