- Professor Kazuto Ataka
Introduction of the discussion
AI (Artificial Intelligence), which has become a hot topic in the media today, is able to work by loading a huge amount of data and experience values after implementing an algorithm that activates language processing ability and learning ability in a high-speed computing environment. It’s just an automation program for a specific application.
Because an order of magnitude greater ability to discriminate between different information has become available recently, it has become possible to capture tacit knowledge.
Therefore, as a result of the media’s misunderstanding of AI’s core technology and the sensational sentence such as “the arrival of the AI unemployment era”, the barren story of “AI threat theory” has been born.
Finding the problem
AI cannot understand “meaning” like life forms. This stems from the fundamental difference between AI machine learning and life learning.
Machine learning is an output-driven type that sets the parameters in the model in accordance with the expected output.
AI is neither able to understand the context of problems, nor able to ask the questions necessary to solve problems. That is because the machine “does not understand the meaning”.
Argument
The biggest misunderstanding about AI is the belief that AI has an independent entity and will. AI is nothing but an automated version of information process and judgment process.
It is surprising that AI has a level of discrimination and tacit intelligence that is impossible for humans, but AI is just a technology and the problem is how to manage it.
Understanding what is happening as the essence of technical innovation is more important than anything.
Conclusion
Therefore, I would like to spread the correct understanding of the possibilities and limitations of AI to society and to deepen my research on the social utility of AI.
Examining the conclusion
By studying with Professor Kazuto Ataka, who is widely involved in human resource development and industrial innovation, utilizing a wide range of experiences such as brain, management and data, I am sure that I could obtain various perspectives regarding my research and it would open up new horizons for me.
Therefore, I believe that Keio University’s Faculty of Environment and Information Studies is the most suitable place for pursuing my research and social contributions, and I am aspiring to enter your school and study in your laboratory.
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