AER Framework: AI-Assisted Art Style Exploration for Digital Artists

The Analyze-Experiment-Resituate (AER) framework has been introduced to transition generative AI (GenAI) tools from simple imitation of styles to facilitating the exploration of artistic styles. This framework emerged from discussions with 10 professional digital artists and seeks to fill the void in existing AI tools that often promote style duplication rather than innovation. AER encompasses three fundamental practices: interpreting references, experimenting with stylistic options, and reflecting on the reception of new styles. This approach allows artists to dissect artworks into understandable stylistic components, engage in guided experimentation based on personal choices, and place new styles in different contexts. The research, shared on arXiv under identifier 2608.14405, highlights the necessity of nurturing the creative journeys of digital artists, whose styles evolve through continuous experimentation and reflection. By emphasizing exploration rather than mere replication, AER presents a more artist-focused method for AI-enhanced creativity, which could shape the future of generative tools.