Trust in artificial intelligence (AI) is crucial for the adoption of this socially-changing technology. Trust can be much more solid if it is grounded in knowledge, which is why spreading knowledge about artificial intelligence is of utmost importance. The aim of the thesis is to analyse the connection between trust in AI and knowledge about it among students whose futures will be significantly intertwined with artificial intelligence. I conducted a survey among students to evaluate their general trust in AI as well as trust in the use of AI. When measuring knowledge, I distinguish between the concepts of subjective and objective knowledge. I also consider the influence of gender and field of study. The results of the analysis suggest that the strongest correlation with trust in AI is found with the variable of subjective knowledge. There is also a connection with objective knowledge, gender, and field of study of the respondents. With further multiple regression analysis of trust in AI, we obtain a statistically significant model that confirms the positive effect of subjective knowledge and the negative effect of gender. It is, therefore, those who think they know a lot about AI and men that have more trust in AI.
|
