This chapter evaluates the contribution of research in this volume towards culture-sensitive, responsive, and participatory AI for social assessment in public service provision. Research offers some opportunities for a cross-cultural comparison among case studies concerning AI-based social assessment: The chapter starts by discussing some more general commonalities and differences in terms of value cultures from a nation state perspective. After this, the comparison of case studies and their results will evaluate the actual findings regarding the hypotheses and questions of AI FORA. Insights concerning the utility of including vulnerable groups in participatory research will be compared across case studies, as well as findings about challenges for existing or future AI use in social assessment for public service distribution. Then, the chapter assess research experiences with the Safe Spaces concept for inclusive technology co-design from the point of view of Safe Space coordinators, of participants in Safe Space workshops, and of AI FORA researchers. After this, the chapter discusses impact paths of research for its two target audiences, i.e. policy and the general public. Finally, the last evaluation exercise of this chapter consists in an ex ante assessment of the future, i.e. the upcoming modelling and simulation work in the case studies for improved AI-based social service provision in national welfare systems.