| Abstract [eng] |
The referenced article [1] aims to extend the understanding of public perceptions of artificial intelligence (AI) systems beyond individual user perspectives to encompass broader societal trust. It examines how demographic traits and technological familiarity influence public trust across different domains such as healthcare, education, and creative arts, through a large-scale survey (N = 1506). This study is particularly relevant to current state-of-the-art research as it addresses the complex dimensions of trust in AI, distinguishing between perceived capabilities and benevolence of AI systems in varied societal roles. The relevance of this research lies in its comprehensive approach to evaluating public trust in AI, which is crucial for developing and implementing AI technologies responsibly and ethically. By exploring both the capabilities and benevolence of AI systems in critical sectors, the study contributes valuable insights to ongoing discussions about AI governance and the need for human-centered AI design. These insights are essential for ensuring that AI development aligns with societal values and needs, thus supporting more informed policy-making and AI system design that foster public trust and acceptance. The article’s exploration of demographic and technological familiarity as influencers of trust further contributes to understanding the socio-technical dynamics at play, providing a comprehensive view that supports the development of more targeted, human-centric AI governance and policy frameworks. [...]. |
