GRANT PORTFOLIO
DAACI operates a portfolio of projects to propel the ethical integration of music and AI. As an industry partner, we apply for and fulfil grant projects, supporting the development of the latest innovation. Contact us to find out how we can support your grant applications.
Grant Lead:
Innovate Bridge AI Grant to Improve Productivity
DAACI (lead) partnered with BIMM University and Lewis Silkin LLP
In the emerging Web3.0 world, artificial intelligence (AI) offers composers/artists access to new ways of music generation by adopting generative AI music synthesizers. These Generative AI music tools generate music faster and more affordably compared to traditional methods. However, enormous productivity and efficiency opportunities are being held-up by widespread uncertainty of the legal implications regarding how to licence this AI content, to ensure a fair split between writers, publishers, labels, artists, producers and performers.
This project focuses on the development of an ethics standard for all AI music companies, for royalty distribution to contributing rights holders. This addresses a widely held uncertainty of the legal implications regarding how to licence AI content, to provide a fair split between writers, publishers, labels, artists, producers and performers.
Our project aims to benefit composers and artists by increasing their efficiency and productivity. It will benefit policy makers through a clear ethical framework. Its overall benefit is in consolidating the UK’s position as a leader in AI for creative Industries.
Grant Lead:
Creative Catalyst: AI in the Music Industry
“Creating a transparent and responsible User Interface to reduce bias in AI-generated music technology”
DAACI (lead) with University of the Arts London (UAL) as Academic Partner.
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.
Grant Collaborator
Pyrsos AI Research Ltd (lead) with DAACI as a collaborator, to develop an AI tool for instant music track recommendations tailored to specific video clips, for example, movie trailers.
Despite the increasing consumption of video and music content and the growing power of AI, there’s a lack of efficient tools for enhancing creative efficiency and simplifying video music searches. Pyrsos AI Research Ltd aims to address this gap by creating a unique AI recommendation engine to serve the UK’s music sector and enhance global media output diversity and efficiency.
This project leverages Pyrsos’ research capabilities and DAACI’s music catalogue and software infrastructure to develop cutting-edge machine learning technology accessible to a wide audience.