Machine Translation (MT) has become a default language access tool in public and third sector organisations serving multilingual communities. However, how organisations, and their staff, actually use it, and their opinions about it, remain largely undocumented. This paper reports findings from charities, NGOs, community organisations and local government authorities in the West Midlands (UK), one of the most linguistically diverse areas of the country. The results indicate that MT use is widespread, informal, and driven by necessity rather than informed decisions or policies. Google Translate is the preferred tool; policies about MT use are rare, and confidence in translation quality is limited. Risk perception varies across the sector: local government respondents identify the widest range of concerns, including legal and medical, while third-sector organisations suggest a pragmatic approach. However, greater risk-awareness does not lead to greater governance, pointing to a gap between individual MT literacy and institutional accountability. Based on this, we propose some recommendations for how organisation serving multilingual communities should approach MT implementation and training.

As part of a larger project on the use of MT in healthcare settings among migrant communities, this paper investigates if, when, how and with what (potential) challenges migrants use MT based on a survey of 201 non-native speakers of Dutch currently living in the Netherlands. Three main findings stand out from our analysis. First, most migrants use MT to understand health information in Dutch and communicate with health professionals. How MT is used and received varies depending on the context and the L2 language level, as well as age, but not on the educational level. Second, some users face challenges of different kinds, including a lack of trust or perceived inaccuracies. Some of these challenges are related to comprehension, which brings us to our third point. We argue that a more nuanced understanding of medical translation is needed in expert-to-non-expert health communication. This questionnaire helped us identify several topics we hope to explore in the project’s next phase.