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Purpose In the European-Taiwanese project Horizon AAL (HAAL), a dashboard is being developed that can act as a decision-aid for caregivers of community-dwelling people with dementia (PwD). In the dashboard, which is driven by artificial intelligence (AI), the data from a number of interoperable AAL (Active and Assisted Living) solutions are gathered and analysed in order to provide insights and predictions about the health and well-being of the PwD. In addition, the dashboard may provide recommendations that help caregivers to assess the care and support needs of their clients. The increasing advancements of AI-technologies such as the HAAL AI-driven dashboard come with benefits such as faster, more accurate, and more efficient data-analysis and the augmentation of human decision-making (Hassani et al., 2020), but also with challenges from a social and ethical perspective, e.g. related to privacy, transparency, human control and trust. In this line, it is broadly acknowledged that the proper embedding of healthcare technologies driven by AI requires innovators and other stakeholders to actively anticipate and reflect on, and be responsive to promises and risks and to societal values, needs and expectations (Morley et al., 2019; Tsamados et al., 2021 ; WHO, 2021). In the ongoing HAAL study, it is therefore explored what decisions and actions can be taken in the design of the dashboard and its cross-cultural implementation in order to account for the needs and values of end-users, and to achieve responsible innovation (RI) that is socially desirable, ethically acceptable and sustainable (Von Schomberg, 2013). Method Through a mixed-methods approach, a survey, focus groups and semi-structured interviews were performed in the Netherlands, Italy and Taiwan, to explore the perspectives of (1) HAAL project partners, (2) end-users and (3) experts outside the consortium on RI in HAAL. Two scenarios about the HAAL dashboard, with differing degrees of autonomous decision-making and learning by AI, were used to help respondents reflect on the potential positive and negative impacts and the values at stake when deploying such an AI-based application. Also, we explored the respondents' views about the decisions and actions that could be taken in the design and deployment of the dashboard to foster RI. Finally we compared the views of Dutch, Italian and Taiwanese respondents, thereby exploring how to be sensitive to both the local embedding and the wider applicability of the technology. Results and discussion As argued by ÓhÉigeartaigh et al. (2020), responsible AI innovation requires cooperation and the inclusion of diverse cultural perspectives. In this line, a cross-cultural study is being performed, involving Northern European, Southern European and East Asian (in particular Taiwanese) perspectives on RI with regards to the AI-based HAAL dashboard that is supposed to be a decision aid in home-based dementia care. Responsible AI innovation requires attention for individual situations and local context-of-use (Hagendorff, 2020), while at the same time catering to the need to offer somewhat standardized, scalable solutions (Peine & Moors, 2015). Therefore the insights from this study can provide researchers and AI practitioners with inspiration about how to address RI in and across contexts. [ABSTRACT FROM AUTHOR]