Machine learning requires huge, dynamic data sets. Conclusions are delivered based on that data. Our models cannot get better than the data we can give them. However good your AI is, "garbage in, garbage out". How do we build balanced models and avoid biased data? Can AI be trusted? Let's see what industry experts have to say about this.
28th of March
6:30pm-8:30pm Central European Time
Impact Hub, @Viadukt Viaduktstrasse 93, 8005 Zürich
Can AI be trusted in the face of biased data?
Lisa Falco, Director of Data Science, Ava AG
Nicolas Perony, CTO, OTO.ai