Data and methods
The use of artificial intelligence by TEK members in working life was investigated in cooperation with VTT with an anonymous web survey. A pilot survey was conducted in June (13.-29.6.2023), and 334 members participated. Based on the results, the survey was slightly modified, and the second round was conducted in the autumn (19.9.-7.10.2023). This survey received 503 responses, of which 418 were complete. In this article, these 503 members’ responses are used to describe the situation of working members. Both surveys were sent to 5000 randomly selected members, so the response rates were quite small (7 and 10) and the number of respondents using artificial intelligence in the September survey was about 200. This should be taken into account when looking at the results.
Compared to TEK’s working members in total, the respondents clearly overrepresent information processing or ICT workers as well as to some extent also research and development workers, university employees and those working in expert tasks, while for example project tasks or middle management are underrepresented. When viewed by age group and gender no biases can be detected. Generally speaking, the respondent group can be considered somewhat reliably representing TEK’s expert members in working life, but the above-mentioned biases are taken into account in the interpretation of the results.
TEK’s Student Survey is conducted annually in September as an identified web survey. The autumn 2023 survey (data collection 18.9.-1.10.2023) included questions on the use of artificial intelligence in studies. The target group consisted of all TEK student members (excluding freshmen, n = 19,788) and 2,908 people responded to the survey, so the response rate was 15. In the survey, women were significantly overrepresented compared to the target group, so the results reporting and analysis use gender-weighted results (n = 2834). Because the number of respondents is large and the weighted data represents TEK student members well, the results on the use of artificial intelligence by students can be considered reliable.
In the student survey, artificial intelligence was defined as follows: “Generative AI, a sub-area of artificial intelligence, uses machine learning to create new content, such as text, translations, code, images or music. For example OpenAI’s ChatGPT produces human-like text for various purposes and Midjourney produces images based on the written instructions given by the user. In this survey, artificial intelligence means generative artificial intelligence.” In the survey of working professionals, respondents were asked to take into account both general artificial intelligence and generative artificial intelligence applications at work, and in different questions it was specified whether all artificial intelligence applications or generative artificial intelligence are meant.
In this article, mostly descriptive analysis is used (frequencies and % distributions), which is supplemented by cross-tabulation.
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