Technologies for collaborative voice chatbots

Voice assistant-powered dialogue engines have previously been deployed in a number of commercial and governmental technological pipelines, with a diverse level of complexity. This PhD considers them as unstructured dialogues. The task is to comprehend those unstructured dialogues and translate them into explainable, safe, knowledge-grounded, trustworthy and bias-controlled machine learning models. Experiments will be conducted on laboratory data as well as in realistic scenarios provided by partners of the EU project Eloquence.