Science is in revolution. The formidable scientific and technological developments of the last century have dramatically transformed the way in which we conduct scientific research. The knowledge and applications that science produces has profound consequences on our society, both at the global level (for example, climate change) and the individual level (for example, impact of mobile devices on our daily lives). In the past few years there’s been a lot of enthusiasm about AI and specifically machine learning and deep learning. As we continuously deploy AI models in the wild we are forced to re-examine what are the effects of knowledge symbolisation, generalisation and classification on the historical, political and social conditions of human life.
These developments also have a profound impact on the way scientists are working today and will work in the future. In particular, informatics and mathematics have changed the way we deal with data, simulations, models and digital twins, publications, and importantly, also with ethics. We also need to remind ourselves that algorithms don’t exercise their power over us. People do.
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