PSBB084 The use of artificial intelligence tools in psychology

Faculty of Arts
Spring 2024
Extent and Intensity
1/1/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
doc. PhDr. Martin Jelínek, Ph.D. (lecturer)
Mgr. Vojtěch Juřík, Ph.D. (lecturer)
Mgr. Helena Klimusová, Ph.D. (lecturer)
Bc. Jasmína Aldabaghová (seminar tutor)
Bc. Vojtěch Formánek (seminar tutor)
Mgr. Jana Horáková, Ph.D. (seminar tutor)
Mgr. Kristína Kvapil Varšová (seminar tutor)
Mgr. Filip Kyslík (seminar tutor)
Mgr. Vojtěch Očenášek (seminar tutor)
Mgr. Martin Ptáček (seminar tutor)
Guaranteed by
Mgr. Helena Klimusová, Ph.D.
Department of Psychology – Faculty of Arts
Contact Person: Jarmila Valchářová
Supplier department: Department of Psychology – Faculty of Arts
Timetable
Mon 18:00–19:40 D22, except Mon 15. 4.
Prerequisites
For a deeper understanding of some of the topics discussed, it is advisable to have taken Methodology I or Statistical Methods I and II, but it is not a prerequisite.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 21/25, only registered: 5/25
fields of study / plans the course is directly associated with
Course objectives
To provide students with a comprehensive overview of the current possibilities and limits of the use of artificial intelligence in psychology. To develop students' critical thinking in the context of the application of AI tools in psychological practice and research. To prepare students for the ethical and legal challenges associated with the implementation of AI in psychology. To teach students how to effectively use selected AI tools for various aspects of psychological work (research, diagnosis, therapy). To link theoretical knowledge of AI with practical skills applicable to the psychology profession. To encourage students' creative thinking about the future development and potential of AI in psychology.
Learning outcomes
Upon successful completion of the course, the student will: Knowledge: Explain the basic principles of artificial intelligence and its historical development in the context of psychology. Describe the main types of AI tools used in psychological practice and research. Skills: Applies appropriate AI tools for literature search, data analysis, and interview transcripts in psychological research. Designs an ethically responsible process for the use of AI tools in psychodiagnostics and psychotherapy. General Competencies: Critically evaluate the potential benefits and risks of implementing AI in various areas of psychology. Effectively communicates the possibilities and limitations of using AI in psychology to professional and lay audiences.
Syllabus
  • Brief history of AI
  • Conversational AI
  • Basic principles of prompting
  • AI tools useful for literature search
  • Use of AI tools in research (for statistical data analysis, data visualization, data collection, interview transcripts... )
  • Use of AI tools in psychodiagnostics
  • Use of AI tools in prevention and early detection of mental disorders
  • Use of AI tools in psychotherapy and crisis intervention
  • Ethical aspects of the use of AI tools
  • Legal aspects of the use of AI in psychology
Literature
    required literature
  • https://www.europarl.europa.eu/meetdocs/2014_2019/plmrep/COMMITTEES/JURI/DV/2019/11-06/Ethics-guidelines-AI_CS.pdf
  • McADOO, Timothy. How to cite ChatGPT? Online, blogový příspěvek. April 7 2023. Dostupné z: APA style, https://apastyle.apa.org/blog/how-to-cite-chatgpt.
    recommended literature
  • Fiske A, Henningsen P, Buyx A Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy J Med Internet Res 2019;21(5):e13216
  • Bartlett, L. K., Pirrone, A., Javed, N., & Gobet, F. (2023). Computational Scientific Discovery in Psychology. Perspectives on Psychological Science, 18(1), 178-189.
  • RUSSELL, Stuart J. and Peter NORVIG. Artificial intelligence : a modern approach. 3rd ed. Upper Saddle River: Prentice Hall, 2010, xviii, 113. ISBN 9780136042594. info
Teaching methods
Lectures and seminars where students are expected to actively participate in discussions.
Assessment methods
In order to successfully complete the course, students must either complete one of the assignments given in some of the seminars (e.g., perform data analysis using AI) or submit a homework assignment - an essay summarizing their personal experience using AI tools.
Náhradní absolvování
Due to the required active participation in the seminars, it is not possible to take the course in an alternative form.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught each semester.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/phil/spring2024/PSBB084