How Do You Test the Strength of AI?

Автор: Mikhaylovskiy Nikolay
Сборник: Artificial Intelligence
Том: 12412
Год издания: 2020
Издательство: Springer International Publishing AG
Местоположение издательства: Cham, Switzerland
Первая страница: 257
Последняя страница: 266
DOI: 10.1007/978-3-030-52152-3_27
Аннотация: Creating Strong AI means to develop artificial intelligence to the point where the machine's intellectual capability is in a way equal to a human's. Science is definitely one of the summits of human intelligence, the other be-ing the art. Scientific research consists in creating hypotheses that are lim-ited applicability models (methods) implying lossy information compression. In this article, we show that this paradigm is not unique to the science and is common to the most developed areas of human activities, like business and engineering. Thus, we argue, a Strong AI should possess a capability to build such models. Still, the known tests to confirm the human-level AI do not address this consideration. Based on the above we suggest a series of six tests of rising complexity to check if AI have achieved the human-level intelli-gence (Explanation, Problem-setting, Refutation, New phenomenon prediction, Business creation, Theory creation), five of which are new to the AGI literature.
Добавил в систему: Михайловский Николай Эрнестович

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