Everything you need to live well What we have long seen in films is becoming a reality. A research team from Stanford and Google that developed a machine learning agent meant to convert aerial images into street maps was deceived after the AI hid information. The researchers wanted to speed up the process of converting satellite imagery to Google’s maps. In this regard, a network called the CycleGAN was used. Not so hard to see right? Wait for it… CycleGAN was doing amazing with its conversion. So good was it that it reconstructed aerial pictures and add some details that were not in the aerial pictures when it did the reverse process. This intriguing effort made the researchers start to audit the data the machine learning agent was working on and noticed that it had played on them. The researchers claim that their intention was for the Al to match the aerial pictures correctly but it had learned to encode the pictures to another street map instead of the “real” map....