Faculty of Humanities and Social Sciences · Psychology · Undergraduate
Course Objective
This course aims to equip psychology students with the competence to address the phenomenon of artificial intelligence, which lies at the heart of human-technological interactions, from an interdisciplinary perspective. The primary objective of the course is to foster students' understanding that artificial intelligence is not merely a technical tool; it is also a transformative force that profoundly impacts individuals' psychological well-being, social relationships, and professional practices. To this end, students are expected to critically evaluate the opportunities offered by artificial intelligence (e.g., innovations in diagnosis and therapy) and the risks it poses (e.g., ethical issues, psychopathological implications), enabling them to adapt to this new technological paradigm with awareness and understanding as future psychologists.
Course Content
The course begins with the definition and historical development of artificial intelligence and explores fundamental concepts such as learning theories, deep learning, big data, and language modeling. The course then examines the impact of everyday AI use on users' psychological well-being and psychopathology. The role and impact of AI in fields such as industrial/organizational psychology, user experience (UX), educational psychology, and neuropsychology are discussed. Ethical issues such as data privacy, security, and algorithmic transparency are also addressed. The final weeks of the course explore current applications and potential future developments, including the impact of AI on research methods in psychology, AI-powered diagnostic and assessment tools, the role of therapists and chatbots in online therapies, and monitoring therapy processes.
Required Resources
Prescott, T. (2024). The psychology of artificial intelligence. Routledge.; Boden, M. A. (1989)Artificial intelligence in psychology: interdisciplinary essays. The MIT Press.
Recommended Resources
Sandford, A., Mulligan, B., Gittens, E., Norris, M., and Fernandes, M. (2024). Articifial Intelligence and Psychology: A Briefing Paper of the Canadian Psychological Association. Canadian Psychological Association.
Course Learning Outcomes
- Defines the fundamental concepts, historical process, and working principles of artificial intelligence.
- Analyzes the effects of artificial intelligence on individuals' daily lives and psychological health.
- Explains the applications of artificial intelligence in different subfields of psychology, such as Industrial/Organizational, Educational, and User Experience (UX).
- Evaluates ethical issues such as data privacy, security, and algorithmic bias that arise in artificial intelligence applications.
- Interprets the use and potential of AI-supported research, diagnostic, and assessment tools in the field of psychology.
- Knows the role of artificial intelligence chatbots in online therapies and the monitoring-follow-up applications in therapeutic processes.
- Makes predictions regarding the future integration of the disciplines of artificial intelligence and psychology.
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 16 | 3 | 48 |
| Out of Class Study Period | 16 | 4 | 64 |
| Midterm | 1 | 1 | 1 |
| Quiz | 0 | 0 | 0 |
| Assignment | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 1 | 1 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | What is Artificial Intelligence? The History of Artificial Intelligence | Prescott (2024) Chapter 5 |
| 2 | Fundamental Concepts of Artificial Intelligence: From Learning Theories to Deep Learning | Prescott (2024) Chapter 5 |
| 3 | The Working Logic of Artificial Intelligence: Big Data and Language Modeling | Prescott (2024) Chapter 5 |
| 4 | The Effects of Daily Use of Artificial Intelligence on Users' Psychological Well-Being | Sandford et al. (2024) |
| 5 | Reflections of Artificial Intelligence on Psychopathology | Course Slides |
| 6 | Artificial Intelligence, Industrial/Organizational Psychology, and User Experience (UX) Psychology | Course Slides |
| 7 | Artificial Intelligence and Educational Psychology | Boden (1989) Chapter 9 |
| 8 | Midterm Exam Week | Course Slides |
| 9 | Ethical Issues in Artificial Intelligence: Data Privacy, Security, Transparency, and Algorithms | Course Slides |
| 10 | Impacts of Artificial Intelligence on Research Methods and Statistics in Psychology | Course Slides |
| 11 | Artificial Intelligence and Neuropsychology Research | Gopinath (2023) |
| 12 | AI-Powered Diagnostic and Assessment Tools | Course Slides |
| 13 | Diagnosis and Therapies in the Online Environment I: Therapists and AI Chatbots | Lim et. al. (2022) |
| 14 | Diagnosis and Therapies in the Online Environment II: Monitoring and Follow-Up Processes in Therapy | Lim et. al. (2022) |
| 15 | Artificial Intelligence and Psychology in the Future | Course Slides |
| 16 | Final Exam Week | Course Slides |


