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Rina Bliss, a professor of sociology at Rutgers, says while AI can bring information to kids it cannot make them think. To truly learn children will have to do it themselves and in interaction with teachers, parents and other children. She took the approach of a scientist and let her two children try out AI tools and software and came to this conclusion. One reason she says is that AI is based on computational intelligence and the human mind and brain are not quantifiable. The brain is flowing like a river and always learning from its environments. 

There is a social environmental piece says Marin, there is interaction, there is a drive to know and connect, curiosity and passion that are part of learning. 

Basically AI is developed through taking vast amounts of information collecting it and ordering it in a certain way. How each originator of the AI orders it affects how it will work. And what is in the basket of information collected will affect how it will work. There is no thinking brain outside of the human originator who put a particular version together. Like every piece of software there are implicit or explicit instructions on how to use the basket of information collected that is put in by an originator who developed the AI software.

For these reasons it will only do basic tasks and is not intended for complex tasks that involve thinking processes and social-emotional aspects of human behaviour. The risks of using it begin to grow as soon as it is used for tasks it was never intended to perform such as replacing the human thinking  processes and the socio-emotional aspects of these processes. 

If it is used to do things it was never intended for, the larger the activities it performs, the larger the mistakes and risks it it is liable to make or create. If it is assigned the task of transportation for a country, it will at some point be asked to think and at that point it will fail to make the right decisions, making the risks grow exponentially, very, very fast, leading to disaster.