The Impact of Age Groups' Attitudes Towards Artificial Intelligence and Data Protection

In the context of the rapid development of artificial intelligence and digitalisation, the issue of data protection is becoming increasingly important. The aim of this study was to investigate the relationship between respondents' willingness to provide personal data for educational purposes and their interest in further education in the field of artificial intelligence, with a particular focus on age as a moderating factor. The research sample consisted of 1308 respondents. The collection was conducted using the CAWI method. Chi-square test and binary logistic regression were used for statistical analysis. Age emerged as a significant factor, with older individuals showing lower willingness to provide data and also lower interest in AI. The findings highlight the importance of age group differences in shaping attitudes towards privacy and technological innovation. Greater digitisation and trust in the benefits of AI among younger people lead to more benevolent sharing of personal data. Conversely, older people are more likely to be concerned about the risks of misuse of personal data, which reduces their motivation to engage in innovation. From a practical perspective, the results highlight the need for differentiated marketing strategies and transparent communication about the security and use of personal data. The study provides valuable insights into the factors that influence the adoption of AI in society and contributes to the design of effective policies and programs to promote further education in a dynamic emerging segment.