天美影视

President Hiroaki Inazumi

How to incorporate generative AI (such as ChatGPT, Gemini, Bing, and Claude) into university education and research is a major challenge. The question is how to reconcile it with the established conventions and procedures of traditional educational and research activities, and to what extent and how it should be utilized. We must exercise utmost caution, considering its potential for development while also taking into account its limitations and regulations.

Humans have expanded their capabilities through tools and technologies, but history has shown that the more powerful a tool or technology is, the more dangerous it always comes with. Generative AI is likely to be one such tool or technology. The essence of the danger lies in the fact that the inappropriate use of generative AI can hinder learner growth in learning and education settings. Furthermore, in research, it can lead to complacency in producing easy results, stifling human wisdom and true creativity.

Our university believes it is important to remain a place where people can engage in learning, education, and research with sincerity and earnestness, while respecting social rules and fostering meaningful relationships among individuals.

The basic policy regarding the use of generative AI in classes is to follow the instructions of the instructor in charge of each class. Whether or not to utilize generative AI, understanding the characteristics of generative AI is essential. When deciding whether or not to use it in learning, teaching, and research, and when using it, the following points should be taken into consideration.


1. Plagiarism, copyright infringement
Using text, calculation results, program source code, images, etc., generated by generative AI as your own creation in reports or papers is considered academic misconduct, similar to cheating in a classroom setting. Furthermore, in research, such actions are not only a serious issue from the standpoint of academic integrity and research ethics, but may also constitute legal problems such as intellectual property infringement due to plagiarism or misappropriation of information used by the generative AI for training. When using generative AI, it must be used within permissible limits, taking into account the purpose of learning, education, or research, and appropriate citation and source attribution are required when using it.

2. Credibility of Information
The information presented by generative AI is not always accurate. Information literacy, which involves verifying the source and accuracy of information, and media literacy, which involves understanding the characteristics of the medium, are becoming increasingly important when using generative AI.

3. Leakage or disclosure of personal information or confidential information, etc.
When inputting data into a generative AI, care must be taken in handling personal and confidential information. This includes enhancing knowledge, awareness, and skills regarding information security, including settings for granting permission for the use of user input information.

4 Prejudice/discrimination
There is a risk of unknowingly and unconsciously using materials (text, images, etc.) that promote prejudice and discrimination. Therefore, the need to learn about historical and cultural contexts is increasing.

5. Continuous review
Information technology, particularly generative AI, is advancing rapidly. Furthermore, these technologies are rapidly changing society as well. It is necessary to continue reviewing and considering the effective use of generative AI and how to address it in education and research, taking into account technological advancements and societal trends.

That's all.