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Workshop: AI Art as Welfare Technology?

Info about event

Time

Wednesday 14 June 2023,  at 10:00 - 14:00

Location

CFIA Workshop Zone on the 2nd floor, DOKK1 (Hack Kampmanns Plads 2, 8000 Aarhus C)

Organizer

Centre for Aesthetics of AI Images / DokkX

AIIM will organise a workshop with DokkX on the relation between art and AI welfare technology.

For the past couple of years, an increased awareness has emerged on the role of art as a creative tool in the treatment of loneliness, mental health, and psychological vulnerability. Traditional art therapy often requires considerable resources to hire artists as facilitators as well as materials and spaces to create art. Now, however, it has become easy and accessible to create new and unique images via a simple text prompt on a computer.

The workshop investigates whether AI-generated images are able to support existing art therapy techniques and how they differ from more traditional and physical practices. We also discuss who is really the 'artist' behind the images and whether it is safe for psychologically vulnerable people to use such a powerful and unpredictable tool.

This workshop aims to be at the forefront in understanding and critically discussing the potentials and challenges that automated visual arts production pose to citizens. In colleboration we will investigate the psycho-social effects and possibilities that synthetic images create for vulnerable citizens and develop a humanistic understanding of this innovative technology. The goal is to prepare practicioners for encountering artificial intelligence in the healthcare sector.

The workshop includes oral presentations, practical exercises, exciting discussions, and a lunch. Asker Bryld Staunæs from Aesthetics of AI Images will facilitate presentations, discussions, and various image generation exercises.

Workshop details:
- Date: June 14, 10:00am-14:00pm
- Sign up: Participation by registration only
- Location: CFIA Workshop Zone on the 2nd floor, DOKK1, Hack Kampmanns Plads 2, 8000 Aarhus C

We thank the research centre SHAPE at Aarhus University for their generous funding.