Current data-to-text systems assume that the underlying data is precise and correct -an assumption which is heavily criticised by other disciplines concerned with decision support, such as medicine (Gigerenzer and Muir Gray, 2011), environmental modelling (Beven, 2009), climate change (Manning et al., 2004), or weather forecasting (Kootval, 2008).
simply presenting numerical ex-pressions of risk and uncertainty is not enough.