The third artificial intelligence (AI) boom focused on the “handling of large amounts of data” and “automated learning.” One may think that AI can do anything because it is capable of automated learning, but there are still many problems that AI must tackle. The “necessity of a large amount of data” is and will become an even more significant problem. Obtaining an accurate solution from small amounts of data requires imagination and the detection of trends from a small number of phenomena. One approach is to add artificial data. For example, data can be created by intentionally including noise, and the variation may be expanded by a crossover. Different data can be generated by association or inference. Needless to say, these are artificial data and are not correct cases. “Humanistic AI” must be implemented by devising a scheme to allow accurate learning from small amounts of data. I think that the days when robots are considered enemies are transient and robots will soon be recognized as good partners that support humans instead of being rivals.
Part of the book: Information Systems