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Artificial Creativity: Generation, Interaction, and Evaluation

My study examines the integration of artificial intelligence (AI) into creative fields, particularly focusing on the dynamic synergy between storytelling and co-creative processes in three main areas: generation, interaction, and evaluation. In generation, my work explores AI’s potential to produce varied content across text, image, and sound, enhancing multiple creative sectors. Interaction investigates improving collaborations between AI and human users, ensuring that AI’s contributions are meaningful and suitably contextual. Evaluation involves developing metrics and autonomous systems to assess the quality and originality of AI-generated content, aiding in the refinement of both content creation and interactive processes.

My research adopts a multidisciplinary approach that blends philosophy, cognitive psychology, and computational technology. It tackles philosophical questions about creativity alongside practical concerns of integrating AI into creative workflows. My study contributes to the advancement of artificial creativity, fostering an innovative and inclusive collaboration between human and machine creativity with substantial theoretical and practical outcomes.

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Zhijun Pan is a researcher and developer specialising in computational creativity. He earned a first-class BSc in Artificial Intelligence and Computer Science at The University of Edinburgh in 2023. Prior to his current studies as a PhD student at the Royal College of Art, Zhijun worked for The University of Edinburgh and Ubisoft. He is also actively engaged as a Research Fellow at University of the Arts London since 2024.