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 betrusted? Let's see what industry experts have to say about this.