Mixed-method analysis shows that trust and perception significantly affect AI adoption decisions, highlighting the need for targeted educational measures.
Artificial Intelligence (AI) offers numerous benefits across various fields, including education, finance, and workplace productivity. However, the factors that prompt the use of new AI technology have yet to be fully explored. This paper explores the neuroscientific origins of decision-making as well as the factors influencing the acceptance and adoption of AI, focusing on the role of past experiences, trust, and perception in decision-making. This study employs a mixed-method approach, combining quantitative surveys and qualitative interviews to provide a comprehensive understanding of the attitudes of participants towards AI. The results reveal that positive past experiences generally enhance trust and willingness to engage with AI, whereas negative ones tend to give rise to skepticism and avoidance. However, while past experiences with AI can influence future decisions, trust and perception play more critical roles in the decision-making process. The findings highlight the importance of trust-building and addressing common misconceptions about AI, suggesting that educational programs and simulations that provide positive initial experiences with AI can help recalibrate risk perceptions and build confidence among potential users. By promoting balanced views of AI's capabilities and limitations, this study contributes to societal progress by using robust evidence to support the integration of AI into various sectors of life.
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Lei et al. (2024) studied this question.
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