Multimodal AI systems promise more natural, expressive, and creatively rich interactions, yet they also complicate how users convey intent and maintain control. As these systems rapidly enter everyday practice, agency becomes shared between humans and machines, raising urgent questions about: fairness, trustworthiness, responsibility, and accountability; calibrated trust and appropriate reliance; creative authorship and co-creation; meaningful human–AI decision-making. The goal of this workshop is to clarify the concept of distributed agency and explore its implications for human and artificial creativity. Through presentations and hands-on activities, participants will collectively develop human-centered design pathways for multimodal AI interfaces.

Recommender systems are increasingly employed by journalistic outlets to deliver personalised news, transforming news curation into a reciprocal yet insufficiently defined process influenced by editors, recommender systems, and individual user actions. To understand the tension in this dynamic and users’ preferences and perceptions of their role in personalised news curation, we conducted a study with UK participants aged 16-34. Building on a preliminary survey and interview study, which revealed a strong desire from participants for increased agency in personalisation, we designed an interactive news recommender provotype (provocative design artefact) which probed the role of agency in news curation with participants (n=16). Findings highlighted a behaviour-intention gap, indicating participants desire for agency yet reluctance to intervene actively in personalisation. Our research offers valuable insights into how users perceive their agency in personalised news curation, underscoring the importance for systems to be designed to support individuals becoming active agents in news personalisation.

Share on "Way too good and way beyond comfort": The trade-off between user perception of benefits and comfort in media personalisation Author: Anna Marie Rezk Design Informatics, University of Edinburgh, United Kingdom Design Informatics, University of Edinburgh, United Kingdom 0000-0002-0351-0167View Profile Authors Info & Claims AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and SocietyAugust 2023Pages 996–998https://doi.org/10.1145/3600211.3604761Published:29 August 2023Publication History 0citation37DownloadsMetricsTotal Citations0Total Downloads37Last 12 Months37Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access