How to scale up artificial intelligence

 In the past it was mostly unknown how to create Artificial intelligence, even restricted problems like the game of chess or robot control in a warehouse were recognized as hard to realize in software. The cause was a missing understanding of the domain and missing tools to implement AI domains on a computer.

What is available today is a pathway how to realize Artificial intelligence in a step by step fashion. It has to do with splitting the task between human and computer. In case of computer chess the situation can be described. Automating the entire process of playing the game is difficult, but the computer can be used to only count the pieces on the board and print out the number to the screen. This information helps the human player to decide what for the best move. So the human sees the chessboard itself and a dashboard with important information generated by a computer.

The next task is to improve the dashboard, in a sense that more information are recognized by the computer software like the value for each piece, similar board situation found in the database, and the allowed possible moves. All the information are shown on the same dashboard and reduce the workload for the human operator. The resulting AI system can't be called a true AI but its only a semi-autonomous system.

Instead of answering the question how to play chess with a computer the modified task is to communicate between a human and a computer program about the domain of chess. This communication is realized with an algorithm. The human enters high level actions like "move pawn forward" or "protect queen" and the AI software is in charge to realize this command on the board.