Work

Designing Participatory AI: Creative Professionals’ Worries and Expectations about Generative AI

Year: 2023

Type: conference-paper

Abstract: Generative AI, i.e., the group of technologies that automatically generate visual or written content based on text prompts, has undergone a leap in complexity and become widely available within just a few years. Such technologies potentially introduce a massive disruption to creative fields. This paper presents the results of a qualitative survey (N = 23) investigating how creative professionals think about generative AI. The results show that the advancement of these AI models prompts important reflections on what defines creativity and how creatives imagine using AI to support their workflows. Based on these reflections, we discuss how we might design participatory AI in the domain of creative expertise with the goal of empowering creative professionals in their present and future coexistence with AI.

Source: CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)

DOI: 10.1145/3544549.3585657

Authors: Nanna Inie, Jeanette Falk, Steve Tanimoto

Institutions: IT University of Copenhagen, University of Salzburg, University of Washington

Language: English

Topic: Digital Media and Visual Art

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Villum Fonden, Austrian Science Fund

Awards: G259296539, Diversity Computing Spaces, G8070232825