P11-10
From Computer-Assisted Routine/Repeated ‘Automation’ to AI-Assisted Future-Oriented ‘Autonomous (Intelligent/Creative)’: Division and Impact of ‘Automation’ and ‘Autonomous’ in Research Contents
Kohtaro YUTA *
In Silico Data,Ltd.
( * E-mail: k-yuta@insilicodata.com )
Preface：The era has always continued to develop along with technological advancements and changes, and this progress has evolved in a way that supplements the functions that humans need or find difficult. For hundreds of years, from the agricultural era to the present, there have been fields where technology cannot be applied. That is human intellectual and creative abilities.
The latest large-scale generative AI has the revolutionary power to step into the human intellectual and creative abilities, which were previously impossible to apply with conventional technology, and change the era. In the near future, in addition to the current 'automation,' 'autonomous (intelligent/creative)' will advance in all fields, and the era will transition.
Yuta believes that in the near future, research contents will be developed under new technology (AI), and proposes that research contents should be classified into conventional 'automation' parts and near-future 'autonomous (intelligent/creative)' parts and addressed accordingly.
1.Classification of Research Contents into ‘Automation’ and ‘Autonomous (Intelligent/Creative)’
Research contents can be broadly classified into two types: ‘Automation’ research and ‘Autonomous (Intelligent/Creative)’ research.
Autonomous research involves contents where the application of computers is difficult or impossible. These contents heavily depend on the abilities of researchers and include advanced activities such as various ideas, creativity, insights, judgments, and decisions.
2. The Proportion of ‘Automation’ Research and ‘Autonomous’ Research in Research Contents
The flow of research contents can be divided into three stages: the preparation stage before starting the research, the process of collecting experimental data after starting the research, and the process of summarizing the experimental data to verify hypotheses or discover new facts, and then compiling and presenting the results. Looking at this flow, the content of research contents in the first and last stages falls under 'autonomous' research. On the other hand, the research contents in the second stage are mainly 'automation' research supported by computers.
Summary：
To adapt to research focused on “autonomy” in the new era, it is important to classify and evaluate the content of “automation” and “autonomy” within the research itself. As a result of classifying the research content, it was found that 70% to 80% of the research content is related to “autonomy.” To improve the efficiency and quality of research, it is necessary to improve “autonomous” research, which could not be enhanced by the application of conventional technology. Large-scale generative AI supports this.
