As artificial intelligence (AI) becomes more common in weather prediction, one key question is how to be sure these new AI models can be trusted? To help answer this, more than 200 experts from forecasting centres, research institutions, and universities gathered in October for a joint workshop of the Working Group on Forecast Verification Research (JWGFVR) and the Working Group on Numerical Experimentation (WGNE), hosted by Environment and Climate Change Canada. The meeting focused on improving how AI-based forecasts are evaluated before they enter operational use. (Source: WMO)