Hackathon XAI 2018 - 'Explainability in Lifestyle Support'
Current state of the art lifestyle-support applications offer context-aware advice, but lack giving insights in how (and why) such advice was formed. At TNO, we have been working on a number of novel XAI methods that are able to enrich the inferred advice. The goal of the hackathon is to build a next-level support application by offering the best explainability. You will be working on a lifestyle-related use case that includes offering personalized advice about effective coping strategies to diabetics or people with the risk to develop diabetes.