Universität Wien

200107 SE Advanced Seminar: Work, Economy, and Society (2023W)

4.00 ECTS (2.00 SWS), SPL 20 - Psychologie
Continuous assessment of course work

Vertiefungsseminare können nur fürs Pflichtmodul B verwendet werden! Eine Verwendung fürs Modul A4 Freie Fächer ist nicht möglich.

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Tuesday 03.10. 09:45 - 11:15 Hörsaal C Psychologie, NIG 6.Stock A0618
Tuesday 17.10. 09:45 - 13:00 Digital
Tuesday 31.10. 09:45 - 13:00 Digital
Tuesday 14.11. 09:45 - 13:00 Digital
Tuesday 28.11. 09:45 - 13:00 Digital
Tuesday 05.12. 09:45 - 13:00 Digital
Tuesday 09.01. 09:45 - 13:00 Digital
Tuesday 23.01. 09:45 - 11:15 Hörsaal H Psychologie KG Liebiggasse 5

Information

Aims, contents and method of the course

Learning Objective:
Students will gain an in-depth understanding of the intricate relationship between AI and human creativity through a behavioral and psychological lens. The objective is to analyze and critique how AI can influence and augment human creative processes and understand the implications of such interactions.

Content:
- Introduction to the dynamics of AI and human creativity.
- Psychological principles underlying creativity.
- Case studies on the application of AI in augmenting creative processes.
- Ethical considerations and implications of AI's role in human creativity.
- Predictive insights on the future trajectory of AI's influence on creativity.

Method:
The course will be facilitated through short lectures, student presentations, and focused group discussions. Selected research papers and case studies will be dissected and analyzed in depth.

Assessment and permitted materials

Project: Students have the liberty to choose either a podcast, video or public observation for their project.

1) Podcast or Interview (min. 15 minutes) - In this format, students will craft an audio segment where they can either discuss, analyze, or dissect a particular topic related to AI and creativity from a psychological standpoint. Students might choose to have an interview-style conversation with an expert, a peer, or even hold a solo discussion. This project emphasizes auditory storytelling, compelling narratives, and insightful discussions.

2) Video (min. 15 minutes) - This option requires students to produce a visual representation of their understanding of the course content. The video can be a mix of animations, interviews, case studies, or live demonstrations that delve into AI's intersection with creativity and its psychological ramifications. The emphasis is on visual engagement, research depth, and clarity in presenting complex concepts in an understandable manner.

3) Public Observation or Vlog (min. 15 minutes) - In this format, students will create a video log (vlog) capturing real-world instances of how AI and creativity merge in public or workplace settings. This could include documenting personal experiences, analyzing public reactions to AI-augmented creative displays, or breaking down real-life scenarios where AI influences creative processes. The project prioritizes observational acumen, personal reflection, and understanding the course's concepts in real-world contexts.

Presentation: Students will present a chosen research paper aligning with the topic of the week.

Discussion: Students must prepare 3-4 analytical discussion questions based on each session's topic.

Aids: Students are allowed to use their notes, selected readings, and any AI tool that enhances their creative presentation.

Minimum requirements and assessment criteria

Minimum Requirements:
- Attendance in at least 70% of the sessions.
- Active participation in discussions and group activities.
- Completion and submission of the chosen project.
- Functioning webcam and microphone for digital sessions.

Assessment Criteria:
- Project (50%): Assessed on originality, research depth, and relevance to the course content.
- Presentation (40%): Assessed based on research depth, clarity of articulation, and critical analysis.
- Discussion (10%): Quality of questions, active participation, and contribution to group discussions.

Examination topics

None.

Reading list

Tigre Moura, F., Castrucci, C., & Hindley, C. (2023). Artificial Intelligence Creates Art? An Experimental Investigation of Value and Creativity Perceptions. The Journal of Creative Behavior. doi: 10.1002/jocb.600

Vinchon, F., Lubart, T., Bartolotta, S., Gironnay, V., Botella, M., Bourgeois-Bougrine, S., … Gaggioli, A. (2023). Artificial Intelligence & Creativity: A Manifesto for Collaboration. The Journal of Creative Behavior. doi: 10.1002/jocb.597

Wan, Q., Hu, S., Zhang, Y., Wang, P., Wen, B., & Lu, Z. (2023). "It Felt Like Having a Second Mind": Investigating Human-AI Co-creativity in Prewriting with Large Language Models. doi: 10.48550/arxiv.2307.10811

Association in the course directory

Last modified: Mo 02.10.2023 20:47