Consent practices and disclosure interactions in the context of digital platforms: A design proposal to improve current practices by leveraging value similarities and resolving value tensions

Digital platforms harvest end-users’ data for providing personalised recommended content. However, this data is also used to predict individual end-users’ behaviours and hook them to the content, eventually influencing their worldviews. This raises ethical debates related to the development of serious societal issues, such as fake-news diffusion...

More Similar Values, More Trust? - the Effect of Value Similarity on Trust in Human-Agent Interaction

As AI systems are increasingly involved in decision making, it also becomes important that they elicit appropriate levels of trust from their users. To achieve this, it is first important to understand which factors influence trust in AI. We identify that a research gap exists regarding the role of personal values in trust in AI. Therefore, this...

Modelling Trust in Human-AI Interaction: Doctoral Consortium

Trust is an important element of any interaction, but especially when we are interacting with a piece of technology which does not think like we do. Therefore, AI systems need to understand how humans trust them, and what to do to promote appropriate trust. The aim of this research is to study trust through both a formal and social lens. We will...