Algorithms play a big part in everyday life. They’re able to personalise online ads, recognise our faces, and are well on their way to predict criminal behavior. Part of what makes algorithms so appealing is that they have a touch of truthfulness about them - pure math equals absolute truth. But is this claim to truth justified? Do algorithms indeed produce reliable knowledge? And what are the implications when we leave knowledge-production to self-learning formulas? With Dr Fleur Jongepier (RUN), Dr Tom Sterkenburg (LMU München) & Dr Mirko Schäfer (UU).