This research cluster focuses on the relationship between the audience and AI with a particular emphasis on the interplay between media, artificial intelligence, and users. It considers various aspects, including public perceptions of AI (e.g., trust, aversion, perceived personalization, privacy concerns) as well as the impact of affective aware systems, virtual reality, and voice assistants. Moreover, the cluster explores topics such as the politicization of artificial intelligence, the potential of AI-driven technologies to increase news literacy and leverage users’ knowledge in their relationship with AI (e.g., through transparency or explainability) but also to combat misinformation, disinformation, and polarization.
Key question of the cluster considers: How can AI-driven applications be designed to foster trust and acceptance among people? How can AI applications be used to address issues such as disinformation effectively? How can AI-driven applications offer novel user experiences through linked data, virtual assistants, and other emerging AI-driven technologies? By exploring these topics, the cluster seeks to gain a deeper understanding of the evolving dynamics between AI and the audience, paving the way for more balanced and satisfactory interactions in the future.
