Machine-learning – AI – is increasingly used across all industry sectors to help create more, faster, cheaper, and possibly better products and services. A new AI company is launched every week in the UK and AI startups in the UK have raised £100M in 2017 so far. The arts and entertainment sectors are not untouched by the inroads of AI into our industries and our society.
While some argue that true art, which elicits an emotional response can only be created by humans as only humans understand emotions, others are open to and curious about the yet undefined possibilities afforded by AI in the creative process. As Martin Glover, aka Youth, the musician and producer says: “You will be able to interact with the art in ways that you weren’t able to before […] all that technology is really just about unleashing your imagination – what you can do with a sound and a vibe.”
All, however, seem to agree that use of AI for revenue generation is to be welcomed; yet as AI weaves its way into various systems, products and technologies, defining creation, origins, ownership and rights is set to become far from straight-forward.
Music 4.5 AI, Music and Entertainment will cover questions such as:
- What is the role of AI in music and entertainment creation?
- Is AI helping artists, freeing them up to focus more on their creative imagination, or does it risk replacing (some) artists?
- With increasing use of AI to fuel recommendation and discovery, are we removing serendipity to create more of the same?
- Machine learning is based on masses of data – is there a risk of breach of confidentiality?
- Ownership, rights and royalties from AI-generated music and entertainment – who takes what?