<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/B6471ACF-AA52-4B4F-ACD9-98AEECFE7966" ns1:id="B6471ACF-AA52-4B4F-ACD9-98AEECFE7966"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/F79A4263-B8C2-4735-B78C-DFFFA1DBA58A" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/134E6183-9EB9-4184-88C1-2C3D640661F0" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/1BB2B09C-B198-4818-B363-F8D44FC5F062" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/134E6183-9EB9-4184-88C1-2C3D640661F0" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-02-28T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/3CF87A7B-862C-4C29-8E08-C8915B0F59FB" ns1:rel="FUND" ns1:start="2024-04-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10106158</ns2:identifier></ns2:identifiers><ns2:title>Creating a transparent and responsible User Interface to reduce bias in AI-generated music technology</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>AI systems generate high-quality music, but rely on vast musical datasets, which creates biased models. DAACI uses pioneering AI technology that allows our AI to compose in real-time without relying on pre-recorded tracks or edited audio samples. We encode composers' ideas to achieve this.

In this project, we will build a tool with the University of the Arts London that enables musicians to contribute to our AI models directly. Our approach involves responsible co-design and creating a usable and intuitive front end for our dataset AI tools.

Once the proof-of-concept is developed, we aim to crowd-source musical content and enable musicians to be recognised for their contributions. DAACI's approach has the ethical use and production of music at its heart.</ns2:abstractText></ns2:project>