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https://www.um.edu.mt/library/oar/handle/123456789/128468| Title: | Generation Z's trust toward artificial intelligence : attitudes and opinions |
| Authors: | Dewalska-Opitek, Anna Witczak, Olgierd Szostak, Agnieszka Dziura, Marek Wroniszewska-Drabek, Bożena |
| Keywords: | Generation Z -- Attitudes Artificial intelligence -- Psychological aspects Trust Information society |
| Issue Date: | 2024 |
| Publisher: | University of Piraeus. International Strategic Management Association |
| Citation: | Dewalska-Opitek, A., Witczak, O., Szostak, A., Dziura, M., & Wroniszewska-Drabek, B. (2024). Generation Z's trust toward artificial intelligence : attitudes and opinions. European Research Studies Journal, 27(s3), 33-52. |
| Abstract: | PURPOSE: The article explores the attitudes and opinions of Generation Z (born 1995-2009)
toward artificial intelligence (AI), emphasising their unique relationship with technology. DESIGN/METHODOLOGY/APPROACH: The nature of the research was exploratory; three focus groups were organized, including a total of 34 participants, with each group containing between 8 and 12 individuals. The sample included both Gen Z’s males and females from various nationalities. They were either university students (Erasmus or first cycle program) or high school students (International Baccalaureate Program). FINDINGS: The study uncovers familiarity with AI, sentiment variations, perceived benefits, and concerns Gen Z representatives. Results highlight positive sentiments about AI's potential and apprehensions about privacy and ethical challenges. PRACTICAL IMPLICATIONS: The results shed light on the components of Gen Z consumers' attitudes toward AI, revealing its dimensions and challenges. By addressing the perceived drawbacks and key trust issues identified by the participants, companies can better connect with this increasingly influential generation, which is drawing significant attention from researchers and practitioners and is set to become a dominant force in the future. ORIGINALITY/VALUE: AI is quickly becoming a crucial field of scientific study, with its importance set to increase significantly in the coming years. As technological progress speeds up, AI's potential applications are expanding across various sectors. Additionally, as AI systems are more deeply integrated into daily life, thorough research is urgently needed to tackle key challenges like ethics, transparency, and bias. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/128468 |
| Appears in Collections: | European Research Studies Journal, Volume 27, Special Issue B |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERSJ27(s3)A3.pdf | 418.78 kB | Adobe PDF | View/Open |
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