At Ulla, we’re constantly inspired by the ways artists and researchers are redefining the boundaries between human creativity and artificial intelligence. One such visionary is Lizzie Wilson, an interdisciplinary artist and researcher whose work explores the fusion of live coding and AI in music (UAL Researchers)

We’ve been following Lizzie Wilson’s work for some time - but it was a recent article in MIT Technology Review that reminded us just how important her research is in the broader conversation around human-AI collaboration. Their reflection on her practice framed it not as novelty, but as a glimpse into a creative future that’s already here.

Wilson's performances, such as her piece Live Coding with an Affective Autonomous Agent in TidalCycles, showcase real-time collaborations between human musicians and AI systems. By integrating machine learning algorithms into live coding environments, she creates dynamic musical dialogues that challenge traditional notions of authorship and improvisation (AIMC)

Her research delves into how AI can be designed to respond to human emotions, enabling more nuanced and expressive musical interactions. This approach not only enhances the creative process but also opens up new possibilities for human-machine co-creation in the arts (Lizzie Wilson Research Page)

At Ulla, we see parallels between Wilson's explorations and our mission to harness AI for enhancing human collaboration. While our focus lies in transforming meetings through intelligent transcription and summarization, the underlying principle remains the same: leveraging AI to augment human capabilities without overshadowing them.​ Wilson's work serves as a reminder that AI's true potential lies not in replacing human creativity but in expanding its horizons. As we continue to develop tools that support seamless and secure communication, we're inspired by pioneers like Wilson who demonstrate the transformative power of human-AI partnerships.

For more on Lizzie Wilson's work, visit her Research page or explore her performance at AIMC 2023