2-4-Social Attitudes and Security Discourses Regarding Artificial Intelli-gence, with a Special Focus on the Education Sector

SOCIAL ATTITUDES AND SECURITY DISCOURSES REGARDING ARTIFICIAL INTELLIGENCE, WITH A SPECIAL FOCUS ON THE EDUCATION SECTOR

 

Bálint Zoltán Biczó*

 

Dennis Gabor University, Budapest, Hungary
*Correspondence: biczo.zoltan.balint@gde.hu 

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Abstract 

The exponential development of artificial intelligence (AI) and its widespread social embedding raise complex security and trust issues. This study examines the social attitudes, perceptions, and security discourses related to AI based on the international literature. Using the theoretical framework of the risk society, we analyze the mechanisms behind the formation of technological trust in various sectors (healthcare, finance, supply chains), with particular emphasis on the education sector, where large language models are creating new pedagogical paradigms. Our findings suggest that social acceptance is sector-dependent and is significantly influenced by the transparency, explainability, and the level of autonomy in decision-making of systems. The integration of large language models in education has a dual impact: it supports personalized learning but also creates challenges related to academic integrity and equality of opportunity. The concept of security in the AI context has expanded to include dimensions such as cybersecurity, data privacy, ethics, and social security. Media representations present a polarized image, influencing public opinion and trust. The study provides practical recommendations for the responsible development and application of AI systems, emphasizing the importance of multi-level governance mechanisms and continuous societal dialogue.

 

Keywords:  artificial intelligence, social attitudes, security, risk society, educational integration, large language models