Learning at Doshisha University and Generative AI
Learning at Doshisha University and Generative AI -Considering the Growing Prevalence of Generative AI-
Doshisha University expects students to utilize generative AI appropriately, in accordance with the guidance and learning methods provided by course instructors. This expectation is rooted in the essence of university education, which is built upon “dialogue between faculty and students.”
Using generative AI can deepen understanding and broaden perspectives. However, if used inappropriately, it may diminish opportunities to cultivate your own "creativity” and “imagination”.
Learning at university involves formulating your own questions, thinking independently, engaging in discussions with others, refining your ideas, and building your own knowledge. When used appropriately, generative AI can support this process, accelerate intellectual exploration, and expand its scope. It could be said that this is the very essence of learning at university.
Ultimately, how you use generative AI depends on your own choices. What matters most is not being driven by generative AI but using it autonomously. To do so, you must understand its mechanisms and limitations correctly and maintain a critical perspective.
The spirit of “autonomy and independence,” which Doshisha University has long valued, means acting based on your own judgment and responsibility. The use of generative AI likewise depends on your autonomy and ethical decision-making in relation to your learning. Please read the following “Guidelines for Using Generative AI” carefully and use generative AI appropriately.
Guidelines for Using Generative AI
1. Overview of Generative AI
Generative AI generates new text, images, audio, and other content based on machine learning algorithms. For text generation, it employs large language models (LLMs) trained on vast amounts of text data collected from the internet, predicting the next word in a sequence based on statistical patterns.
- Misinformation (Hallucination)Generative AI may present information that is not factually accurate, raising concerns about the spread of misinformation.
Leakage of Personal or Confidential Information
Information entered may be reused as training data, posing risks of personal or confidential data leakage.
Copyright Infringement
Generated content may infringe on copyrights because training data includes existing works.
Reproduction of Bias
Biases in training data may be reflected in outputs, leading to discriminatory or inappropriate expressions.
Spread of False Information and Deepfakes
The misuse of image, audio, and video generation technologies could lead to identity theft and social disruption.
3. Course-Specific Rules
The availability and conditions for using generative AI vary by course. Please check the syllabus and follow the instructions given by your course instructor.
Preventing Misinformation
Be mindful of hallucinations (incorrect information generated by AI). Always fact-check generated content using reliable sources. Do not accept AI outputs at face value; always confirm them using trustworthy materials that you have actually researched.
Responsibility for Submitted Work
You are responsible for any documents or materials you submit, even if generative AI was used in their creation.
Information Security and Data Privacy
Do not input personal or confidential information into generative AI systems, as there is a risk of unintended external exposure or reuse as training data.
5. Use in Reports Submitted as Final Examinations (Effective April 2026)
Depending on the learning objectives of the course, the use of generative AI in report writing may be prohibited or restricted. Always follow the instructions provided by the course instructor . Failure to do so may result in the Faculty Council recognizing the act as academic misconduct and imposing disciplinary action in accordance with faculty regulations.
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[Important Notice] Use of Generative AI in Reports Submitted as Final Examinations |
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