Machine learning, by which computer algorithms automatically increase their performance through data provided to them, finds itself at the center of the newer research on artificial intelligence. With complex search and optimization algorithms which control the computers, automatic learning processes can be generated. With crowdsourcing, algorithms can be trained, by which the crowd supplies the machines with the required data, so that just like learning through experience they can achieve ever-better solutions. Often it also makes sense to get the initial results of AI systems evaluated by the crowd regarding human logic. Artificial intelligence systems may also untilized combined with crowdsourcing for humanitarian purposes. E.g. to quickly and reliably filter out relevant images, videos and text messages from a large quantity of data. The crowd workers help the learning mechanisms by identifying photos and messages (tweets, for example), tagging them with keywords, and feeding the algorithms with important data so that they learn the essential information and can apply it to additional cases.