Noriko Arai is the program director of an “artificial intelligence” (AI) challenge. In our case, it is Todai Robot project, an AI which can perform multiple tasks in order to pass the entrance examination of a top university by 2020. During the speech, Noriko explains why Todai robot will be able to pass the entrance examination and the main reason why it will not enter the university.
The speaker claims that some people think that AI is smart enough to learn better than most of us and others disagree with this statement. In this case, she had carried out extensive research into the performance of AI in comparison to humans, especially in education. To demonstrate AI performance, Todai robot passed two different types of exams in order to enter the university. As a result, today robot was good at a national standardized test in multiple-choice style and for the second stage written test, it wrote a better essay than most of the students; and Today robot was smarter in answering history yes-no questions and mathematics. According to this evidence, we can say that AI has a chance to outperform us in the nearest future if we do not develop education system and find a way to motivate young kids to learn school subjects which will be given great pleasure for further studying.
Despite the current success of AI in examinations where Todai Robot is among the top 20 %, and it was capable to pass more than 60 % of the universities in Japan. There is still an area where the modern machine can’t perform well. For instance, today robot made simple mistakes in the English test. Noriko Arai says that “modern AIs do not read, do not understand. They only disguise as if they do”. I fully support the idea that AI is not good at all school, university subjects because it can only write or calculate particular tasks where it is required to use formulas, algorithm. The scientists have created AIs; logically AIs can receive and use only basic commands from people.
However, Noriko tries to tell us is that nowadays most of the students collect information, pack the knowledge without understanding the meaning of the knowledge, just memorizing, and AI can do the same thing. Unfortunately, in Kazakhstani context, most school graduates to pass UNT, they memorize all information in order to enter the university. The memorization of school subjects cannot substitute “real” knowledge and “future” students of universities might be faced with problems they will forget most of the things they should know. She suggests that education is needed to change while we have a time.
Noriko Arai’s speech reflects her desire to demonstrate the possibilities and the limitation of current AI by setting a concrete goal: a software system that can pass university entrance exams. She could demonstrate advantages and disadvantages of AI attempts to enter to the university and the memorization knowledge by students make them like “robot” where they cannot understand information.