This PhD research explores how intelligent technologies – proactive, data-driven systems involving AI – can support the use of shared spaces and advance the use of shared spaces and neighbourhood communality in Nordic Superblocks. Nordic Superblock concept promote sustainable living through cooperation and resource sharing among housing blocks. Through empirical studies, four conceptual roles for intelligent technologies have emerged: Community Sheriff, Matchmaker, Facilitator, and Tutor. Co-design with residents and cooperation with space design has proven essential for contextual relevance and community building. An initial design framework for advancing communality with intelligent technologies in Nordic Superblocks considers design factors and outcomes across three levels: micro-level (individual entities such as residents, groups, or specific technologies), macro-level (relationships and interactions between these entities), and meta-level (broader values, ethics, and societal impacts). The research highlights both the potential and risks of such technologies, including privacy concerns and digital exclusion, and proposes a design framework integrating intelligent technology and space design to support communal wellbeing.

As cities explore intelligent technologies to support urban living, youth perspectives remain underrepresented in design processes despite their role as future residents. This study explores how young people (aged 13–17) envision intelligent technologies that support neighbourhood communality in the emerging Nordic Superblock urban model. Through four co-design workshops, we investigated youth perspectives on shared spaces, social interaction, and community participation, applying a multi-level framework of micro-, macro-, and meta-level considerations. The findings highlight youth's expectations for intelligent technologies that organise and optimise shared space use, facilitate social interaction, and support collective decision-making, such as planning of shared spaces. The study identifies concerns regarding privacy, inclusivity, and over-reliance on AI. The study presents four initial technology concepts for advancing communality, ranging from AI-facilitated shared dining to organising events and space use. This paper contributes to ubiquitous technology design understanding by foregrounding youth perspectives to community-centric intelligent neighbourhood technologies that can support residents’ wellbeing.

Abstract AI-based applications are increasingly used in knowledge-intensive expert work, which has led to a discussion regarding their trustworthiness, i.e., to which degree these applications are ethical and reliable. While trust in technology is an important aspect of using and accepting novel information systems, little is known about domain experts’ trust in machine learning systems in their work. To provide a real-life, empirical perspective on the topic, this study reports findings from an interview study of accounting practitioners’ (N = 9) trust in intelligent automation in their work. The findings underline the holistic nature of trust, suggesting that contextual and social aspects, such as participatory design practices, shape domain experts’ trust in intelligent automation. For instance, the participants emphasize their contribution to product development and open communication with the system developers. In addition, the findings shed light on the characteristics of domain experts as technology users, such as the necessity of situation-specific expert knowledge when evaluating the systems’ reliability. Thus, our findings suggest that trust in intelligent automation manifests at different levels, both in human-AI interaction and interpersonal communication and collaboration. This research contributes to the existing literature on trust in technology, especially AI-powered applications, by providing insights into trust in intelligent automation in expert work.