Human–Machine Collaboration for a Multilingual Service Platform

Communication is a significant activity in a city. Especially, in a multiethnic country and intercultural city, multilingual communication is necessary for mutual understanding. Smart cities should provide a multilingual service platform for overcoming the language barrier. However, fewer language data causes fewer service components in low-resource languages. To augment the service components, the multilingual service platform requires effective collaboration between humans and artificial intelligence. In this chapter, we regard human activities and artificial intelligence as services and realize human–machine collaboration by composing the services dynamically. Firstly, we describe how to choose reliable human services among many unqualified ones. And then, we present a loop where data generated by human services is augmented by AI-based services and fed back to human services. Finally, we propose a planning technique that dynamically composes both human and AI services and report experimental results in Indonesia, one of the biggest multiethnic countries.