This dissertation examines artificial intelligence (AI) models in creative domains, focusing on their emerging impact on the conditions and infrastructures of artistic work. It frames the transition of this socio-technical system as an instance of a broken world, and extends Creative AI ethics beyond abstract principles towards the situated, lived experiences of the various stakeholders involved: artists and music communities, as well as developers and service providers of Creative AI applications. Grounded on critical analysis and ethics of care, the dissertation explores the tensions and transitions practising artists experience in their working environments in the context of rapid AI proliferation, and how AI development work practices could better support artists in navigating the rapidly changing socio-technical AI landscape. 

Drawing on six empirical case studies, the dissertation contributes, first, an analysis of the frictions and reconfigured conditions of artmaking, as experienced by Nordic AI artists in the early 2020s. Second, it introduces care ethics to the analysis of Creative AI and proposes sustained reflexive repair as a novel conceptual lens for managing disrupted cultural data relations in AI development. Overall, the dissertation argues that foregrounding repair can make the emergent ethical impacts of AI technologies and practices visible and help reconfigure paradigms for developing, designing, using, and regulating Creative AI that foster fair market conditions for artist economies and cultivate artistic integrity and agency.