FF:PSMB081 The use of AI tools in psych. - Course Information
PSMB081 The use of artificial intelligence tools in psychology
Faculty of ArtsSpring 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 (in Czech)
- ! PSBB084 The use of AI tools in psych.
- 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: 23/25, only registered: 1/25 - fields of study / plans the course is directly associated with
- Psychology (programme FF, N-PSYCH_)
- 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
- Bartlett, L. K., Pirrone, A., Javed, N., & Gobet, F. (2023). Computational Scientific Discovery in Psychology. Perspectives on Psychological Science, 18(1), 178-189.
- 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
- 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.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/phil/spring2024/PSMB081