Humans call themselves 'Homo Faber' and consider tools to be the core of their essence.
To effectively utilize artificial intelligence technology as a tool, prior knowledge is essential above all else.
It philosophically explores the foundation of awareness and understanding that users must have in advance.

Seeing that the language understanding and generation abilities we have been performing without thinking are only just being replicated with billions of parameters and high-performance computing gives us a new perspective on human cognitive abilities.
This is where the paradox of understanding humans again through artificial intelligence begins.
I hope this chapter will leave you amazed at the intricacies of artificial intelligence and awed by the sophistication of human functioning.
--- From "01_Background Knowledge of Artificial Intelligence"

Prior knowledge refers to the experiences and cognitive structures that a person already has, and the ability to understand and apply new information through these.
And the composition is not limited to the simple act of 'putting in' knowledge.
The construction of prior knowledge is a process that includes the ability to ‘utilize’ knowledge.
Human prior knowledge is not simply an accumulation of information, but a cognitive foundation that can interpret information and apply it to new situations.
--- From "02_Human Prior Knowledge"

As a concrete example, let's assume a situation where a chef uses a tool called a knife. The chef will use the knife to prepare the ingredients for cooking.
But just because a chef knows how to use a knife doesn't mean he knows all the alloy components or manufacturing processes of the knife.
Likewise, we can leverage AI without needing to know all the details of its internal implementation.
However, just as learning how to use a sword well requires understanding the basic principles, philosophy, and flow of technology to use AI well.
--- From "03_Technical Knowledge"

Expertise is knowledge that can be refined and built over a long period of time, and can be acquired by investing time and renewing oneself through repeated, deliberate practice.
This is where we find the distinction between AI and humans. While AI improves through developer updates, humans improve their performance by evolving themselves.
The ability to build expertise beyond prior knowledge is a human strength.
And it is expected that the specialized knowledge accumulated in this way can become a unique domain of humans.

--- From "05_Professional Knowledge"