Patterns in practice: Improvised human machine conversations - Panel Q&A

Ochu, Erinma; Scott, Craig; Bush, Samborne

Abstract

Following an evening of improvised performance by composer and instrument builder, Craig Scott, on his automated guitar that reflects on the tension that exists between human and machine-made music, a conversation between Craig Scott, Sambourne Bush and Erinma Ochu, as members of the Patterns in Practice research team.

Craig Scott is the recipient of our Patterns in Practice Artist Residency - an opportunity to develop ideas and conversations exploring data mining and machine learning. For the last three months, Craig has been resident at Pervasive Media Studio exploring our evolving human relationship with technological appendages, its effect on personal and collective mental health, perception of reality and how we relate to our own bodies, tools and each other.

The Residency is part of a wider research project led by the University of Sheffield and UWE Bristol, funded by UKRI.

During his time in Bristol, Craig - originally from Scotland - has built a new form of guitar that he will perform with at this event. It uses machine learning and curated data sets to partially control the instrument whilst it is played by an improvising musician. Craig's approach uses machine learning as a response to the improvising musician to explore how dataset bias affects real world outcomes.

Craig's work offers a unique perspective on the extensions and amputations that can result from new automated technological appendages.

• Exhibition Performance Type: Performance
• Start Date: Jan 19, 2024
• End Date: Jan 19, 2024
• Deposit Date: Sep 28, 2024
• Series Title: Patterns in Practice Residency
• Keywords: AI, Automation, Guitar, Improvisation, Composition, Patterns in Practice
• Public URL: https://uwe-repository.worktribe.com/output/13204094
• External URL: https://www.youtube.com/watch?v=sc-3S-mxbGM
• Genre: Conversation