Health data bear great promises for a healthier and happier life, but they also make us vulnerable. Making use of millions or billions of data points, Machine Learning (ML) and Artificial Intelligence (AI) can support accurate diagnoses, better treatments and greater cost effectiveness. However, it can also have undesirable implications, which may in fact be terrible, e.g. discrimination, the mechanisation of death, and genetic, social, behavioural or technological selection. As many unintended effects become visible only after years, we still lack sufficient criteria, long-term experience and advanced methods to reliably exclude effects being in serious conflict with human rights and the constitution.

Speaker: Prof. Dirk Helbing (ETH Zürich) 
Moderator: Prof. Reinhard Griebenow (ECSF)/Prof. Peter Henning

Join Zoom Meeting: https://ethz.zoom.us/j/68788863112
Meeting ID: 687 8886 3112

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