In this research paper, the authors explore the interplay between about-knowledge and cognitive skills in shaping how scientists engage with artificial intelligence (AI). They delve into the concept of about-knowledge, which refers to a broad understanding of AI’s potential applications beyond the field of computer science. The authors examine how this type of knowledge can motivate scientists to pursue the idea of incorporating AI into their research, particularly in fields outside of computer science.
The study identifies several key factors that influence a scientist’s likelihood of engaging with AI technology:
- About-knowledge: The authors find that having a broad understanding of AI’s potential applications can motivate scientists to incorporate it into their research.
- Cognitive skills: The ability to perceive, process, and use information in a given environment is essential for individuals to engage with AI technology effectively.
- Formal scientific education: The authors suggest that a scientist’s first field of activity can serve as a proxy for formal scientific education and context skills, which are crucial for adopting AI technology.
- Exploratory profile: Individuals who maintain the use of AI in their research exhibit a more exploratory profile and demonstrate stronger past success than their counterparts who do not continue to use AI.
- Taste for exploration: The authors find that cognitive skills, such as creativity and openness to experience, can influence an individual’s willingness to engage with AI technology.
In summary, the article demonstrates how about-knowledge and cognitive skills interact to shape scientists’ engagement with AI technology. By understanding these factors, researchers can better support scientists in incorporating AI into their research, leading to more innovative and effective solutions.
