Course objectives

The aim of the course is to provide students the means to develop insights into responsible use of generative AI in research. The course covers ethical, technical, and societal perspectives that accompany the use of generative AI technology in research. Through a combination of theoretical seminars and practical exercises, the students will develop their ability to critically assess the potential and risks associated with the use of generative AI in research. Important topics such as privacy, bias, originality, reproducibility of research results, intellectual independence, and generative AI’s impact on scientific integrity are addressed to prepare the students for the ethical considerations of AI that are central to research.

Contents

  • Introduction to generative AI: history, fundamental concepts, current trends, and an overview of different generative AI models and their applications in research.
  • Ethical perspectives: privacy, transparency, bias, originality, responsibility, ownership, and intellectual independence.
  • User-oriented and technological perspectives: prompting, areas of application, limitations, and possibilities.
  • Societal perspectives: generative AI and its impact on research, on the role of universities in society, and on society, including aspects related to economic and ecological sustainability.
  • Philosophical perspectives: the implications on different views of knowledge, knowledge creation, and science.
  • Overview of research methods suitable for research assisted by generative AI, including engineering/design sciences, social sciences, humanities, and interdisciplinary methods.

Syllabus

Syllabus Responsible Use of Generative AI in Research (PDF)

Course credits

3,5 credits

Course code

MAU0005

Language of instruction

English

Entry requirements

Students must be admitted to doctoral studies

Course period

2 December 2026 - 20 January 2027

Schedule

Schedule Responsible use of generative AI in research autumn 2026

Teaching mode

This course will be taught on campus only

Application

Application Responsible use of generative AI in research

Contact persons

For academic questions - Arezoo Sarkheyli-Hägele

For administrative questions - Kristina Olsson