Negative Faces of Artificial Intelligence in the Conditions of the Knowledge-Based Economy

Purpose:The purpose of this article is to identify and analyze concerns related to the use of artificial intelligence (AI) in the Knowledge Economy (KBE) environment.The study focuses on understanding which aspects of AI technology are the most feared in society and how these concerns interact.Design/Methodology/Approach: The survey was conducted in January 2024 on a sample of 956 students from three universities in Poland.A survey method was used in which respondents rated their concerns about various negative aspects related to AI on a five-point Likert scale.The data were statistically analyzed to determine the level of concern in each category and the correlations between them. Findings:The results of the survey show that respondents' greatest concerns are about AI taking control of ICT systems and the potential impact of AI on mass unemployment and social inequality.A significant number of respondents also expressed concerns about the takeover of humanity and the destruction of humanity by advanced AI systems.Correlational analysis revealed that these concerns are strongly linked, suggesting that risk perceptions in different areas influence each other.Practical Implications: Understanding AI concerns in the context of GOW is essential to developing risk management strategies and creating regulations that ensure the safe and ethical implementation of AI.The results of the research can help policymakers identify key areas for intervention and take action to increase public awareness of the potential risks of AI.