Research Themes

Creative relationships with AI develop over months and years, shaped by curiosity, frustration, discovery, and sometimes deliberate retreat. This theme traces how practitioners across music, visual art, design, film, and performance describe their journeys with AI as an ongoing, biographical process. What emerges is a picture of co-evolution: as practitioners change, their AI relationships change with them, and the tools themselves reshape how artists understand their own practice.

Is AI a tool, an assistant, a collaborator, or something else entirely? Practitioners disagree, and that disagreement is itself revealing. This theme maps how artists position AI across the full spectrum of creative engagement, and examines what is at stake in how they answer this question. What the distance between a tool and a partner looks like in daily creative work turns out to be one of the most contested questions in the field.

Creative practice lives in the hands, the ear, the eye, in years of physical repetition that builds tacit knowledge. This theme examines what happens to embodied craft when AI can generate outputs that once required deep technical mastery. Practitioners across dance, music, visual art, and design describe how their physical skills are being redirected, and what this means for creative expertise in an age of generative systems.

Across every discipline in this study, practitioners describe the same desire: productive surprise. AI systems that deliver predictable outputs on demand turn out to be less creatively useful than systems that occasionally do something unexpected. This theme explores how practitioners deliberately cultivate and harvest uncertainty, how they distinguish meaningful surprise from noise, and how the reflective rhythms that creative development depends on are both enabled and threatened by the speed of AI generation.

Where does creative agency reside when an artist works with an AI system? This question has legal, ethical, and deeply personal dimensions that practitioners navigate every day. This theme examines how creative identity shifts under the pressure of AI collaboration, how practitioners protect their sense of authorship while remaining open to AI contributions, and what it means to maintain agency when the boundaries between human intention and machine generation are increasingly difficult to draw.

AI systems do not remember. Each session begins again, with no accumulated understanding of a practitioner's aesthetic history, evolving preferences, or long-term creative direction. This theme examines what practitioners actually need from AI memory: sustained, developing understanding that makes genuine creative partnership possible. The gap between what currently exists and what practitioners describe is one of the most significant design challenges in the field.

How do practitioners engage with AI in ways that support their long-term creative vitality? This theme examines the conditions under which AI collaboration feels sustaining, and where it begins to feel depleting or threatening to creative identity. From concerns about skill atrophy and over-dependence to questions about environmental cost and platform control, practitioners are already developing their own frameworks for working with AI on their own terms.

AI creative systems encode values, reflect corporate priorities, and distribute their benefits and costs unevenly. This theme examines practitioners who interrogate algorithmic bias, question who controls creative infrastructure, and foreground the labour and environmental costs that commercial AI narratives tend to obscure. Their perspectives are essential to any honest account of what human-AI creative collaboration looks like in practice.

What would an AI system designed around creative practice actually look like? This theme synthesises what practitioners say they need from the tools they work with every day: systems that remember creative history across sessions, develop sensitivity to individual aesthetic preferences over time, and introduce productive surprise without overwhelming intent. These needs emerge from specific frustrations and point toward a fundamentally different design philosophy for creative AI.

What would it feel like to work with an AI system that genuinely knew your creative practice? This theme draws together the aspirations and speculative visions practitioners offer when imagining the future. From emotionally responsive musical instruments to systems that accumulate decades of aesthetic memory, practitioners are already articulating what genuine human-AI creative partnership could become. The barriers they identify are less technological than economic and philosophical.