A major concern with the rise of robotics and AI is how the trust in them can be studied and maintained. This workshop focuses on the multidimensional aspects of trust in technology in order to encourage interaction and collaboration among early-stage researchers. The workshop develops and connects different dimensions of trust while issues such as algorithmic authority, normative practices, governance, interpretability and relatedness are addressed in relation to the topic. By bringing together approaches from the humanities, social sciences and HRI, we aim to contribute to the establishment of sustainable socio-cultural values around robotics and AI.

The notion of trust has evolved to become one of the many nebulous buzzwords centering around AI. This paper aims at showing that, with regards to human influenceability through AI, trust in AI is to be seen as problematic. Based on the notion of socio-technical epistemic systems, I will argue that the trust human agents have in AI is strongly related to what could be understood as algorithmic authority. A second part of this paper will then translate the elaborated line of argument to the field of social robotics.

Can trust in human-robot interaction (HRI) be gained by gamification? In order to answer this question, the concept of credibility will be introduced with a specific focus on the implementation of ethical rules in robotic safety systems. It is argued that cultural issues play a crucial role that cannot be controlled in a top-down approach. Instead, the focus is on a process-oriented bottom-up understanding of trust which pays attention to different social situations of normative practices. In order to combine in a transdisciplinary way philosophical and engineering points of view, a model for “gamifying trust” is presented.

This contribution develops an approach towards the study of trust in emerging robotics in a context of technology governance. First, a notion of robotics' speculative character as an emerging technology is developed, thereby pointing at the different expectations regarding its societal impact. Furthermore, robots as speculative objects are explained as important to engage with, thereby arguing for a narrative approach towards robot trajectories. Finally, based on the above, a concept for the analysis of trust building through technology governance is developed. A concept that can engage with the speculative character of emerging robotics on a societal level.

This contribution offers an analysis of the connections between different forms of interpretability of artificial agents and how these can influence the development of trust on the side of non-expert users. In order to discuss semantic issues connected to forms of interpretability such as transparency and explainability, the first part of the contribution proposes a critical analysis of the terms involved and of their relation. The second part investigates the implementation of these forms of interpretability, highlighting their limits and advantages, in order to maximize understandability for non-expert users and artificial agents’ trustworthiness.

As robots are being designed to support older people in their living spaces, the use of robots in these contexts may come with issues of trust. As trust is multidimensional and ephemeral, we still lack a systematic understanding of trust in these real-world contexts. Drawing on empirical studies involving older people and technologies, I identified various interwoven forms of relatedness, such as among people, and among people and institutions, places and technology. I discuss how these interwoven forms of relatedness are crucial for a holistic understanding of trust, and subsequently provide insights on how to design for trust in situated human-robot interaction in older people’s living spaces.