The research aims to explore the convergence of two of the major phenomena of the 21^st century: an ageing population and the technological progress. These are, of course, two distinct phenomena that characterise contemporary societies which, moreover, will become increasingly older and increasingly digital.

Despite the acknowledgement by national and supranational legislators of the need to adapt legal and social structures to demographic ageing, and despite the intention to create increasingly “anthropocentric” technologies - as is evident in the recent AI Act - the two phenomena under consideration are not progressing in a harmonious and integrated manner and, on the contrary, technological evolution ends up keeping the ever larger segment of the population represented by the elderly at the margins of development and progress.

The aim of the research is to ascertain whether and how law can reconcile the apparent antinomy between progress and ageing, and to take into account the peculiarities of the elderly in the regulation of new technologies, highlighting regulatory solutions and jurisprudential interpretations, best practices and codes of conduct, with a view to integrating longennials into the digital society.

The global ageing trend is accelerating, with the population aged 60 and older projected to surpass 2.1 billion by 2025. Many of these individuals will face physical or cognitive impairments that challenge their ability to live independently. Adapting domestic environments to support ageing in place is crucial, yet complex, requiring collaboration among architects, clinicians, and caregivers. This study explores the potential role of AI in supporting architects tasked with reconfiguring homes for older adults.

We conducted a qualitative study involving 20 early-career architects (aged 26–35) with renovation experience but limited exposure to accessibility-focused design. A structured questionnaire assessed perceived challenges in home adaptation, the relevance of occupant health data, openness to AI tools, and desired AI features.

Findings reveal that architects struggle to integrate health-related information and reconcile input from diverse stakeholders. They expressed a strong interest in an AI system capable of providing: regulatory guidance, access to updated databases of assistive technologies (e.g., ISO 9999:2022), health-informed recommendations, spatial optimization, and seamless integration with familiar CAD and BIM tools (e.g., Revit).

In response, we propose the AgeIt Decision Support System (DSS), a knowledge-based AI platform that bridges architectural design and healthcare needs. AgeIt facilitates personalized, regulation-compliant, and multidisciplinary home adaptation, supporting the growing need for effective, scalable solutions in ageing societies.

Large scale deployment of IT-enabled healthcare services is hindered by organizational, technical, economic, and socio-cultural barriers that require tailored adaptations to be integrated in current care provision. Specific design requirements are key to improve the adoption, usability, and sustainability of digital health interventions. The involvement of patients and professionals is pivotal to avoid that innovative products and services remain unused because they take into account health and care needs but do not consider the human factors and the organizational context. The present study aimed to identify a user-centred design method to remodel the preventive diagnostic-therapeutic pathways of older patients with multimorbidity, by introducing digital technologies in health and social care service provision. A Focus Group (FG) was set up at Federico II University and Hospital to identify patients' unmet needs and the processes that require change due to the introduction of IT. The FG analysed SUNFRAIL multidimensional assessment data from n=54 patients with multiple chronic diseases. Based on the data, the theoretical elaboration of a use-case was developed through a persona-centred design method. The identified persona use-case required multi-professional and multi-dimensional interventions in relation to the adherence to therapeutic prescriptions, physical activity, sociability, disease self-management skills, psychological well-being and commitment to healthy lifestyle. The FG identified digital solutions addressing the unmet needs, and the dataset pivotal to implement a digitally supported intervention addressing such needs. This study contributed to the design of a proactive care model for older adults with multimorbidity, planning personalized and integrated interventions based on multidimensional health needs.

This study explores the literature to find whether and how Ambient Assisted Living (AAL) solutions reduce the care burden of informal caregivers of dependent older people. Caregivers became a crucial resource in the Long Term Care (LTC) system in many countries, due to their key contributions in providing informal care to dependent seniors. Literature underlines how the care burden negatively impact caregivers’ quality of life, affecting their health, emotional, physical, social, economic, and financial conditions. The fast development and spread of AAL solutions for LTC calls for attention to their effects on different beneficiaries involved in care, including caregivers. This review aims to update and improve the overview of literature on the topic, including the spread of AAI models and Internet of things (IOT) solutions. In particular, we are interested in analysing how caregiver burden is defined in terms of research concepts and tools and what related variables or dimensions are considered and analysed. A systematic review has been performed based on the PRISMA statement. The review, starting from a search on PubMed, EBSCO, Web of Science, Embase and Scopus provided a selection of 39 papers, analysed using the MMAT tool and other specific variables identified to achieve the study aims. The preliminary results show literature gaps on care burden issues and how technology invasiveness remains a significant concern. Thus, the findings invite the spread of co-design activities involving all key stakeholders and adopting a user-centric approach to better address these concerns and improve assistive technologies’ overall design and usability.