“Alphabet X, the company’s early research and development division, has unveiled the Everyday Robot project, whose aim is to develop a ‘general-purpose learning robot.’ The idea is to equip robots with cameras and complex machine-learning software, letting them observe the world around them and learn from it without needing to be taught every potential situation they may encounter.” (MIT Technology Review, 23 November 2019) This was reported by MIT Technology Review on 23 November 2019 in the article “Alphabet X’s ‘Everyday Robot’ project is making machines that learn as they go”. The approach of Alphabet X seems to be well though-out and target-oriented. In a way, it is oriented towards human learning. One could also teach robots human language in this way. With the help of microphones, cameras and machine learning, they would gradually understand us better and better. For example, they observe how we point to and comment on a person. Or they perceive that we point to an object and say a certain term – and after some time they conclude that this is the name of the object. However, such frameworks pose ethical and legal challenges. You can’t just designate cities as such test areas. The result would be comprehensive surveillance in public spaces. Specially established test areas, on the other hand, would probably not have the same benefits as “natural environments”. Many questions still need to be answered.