Authorship and Collaboration with AI
I’ve been thinking a lot lately about authorship when it comes to making creative work through collaboration with AI. I’ve been particularly interested in how authorship changes once we start relying more heavily on technology to make our work.
There’s a spectrum, I think, that runs from one extreme to the other. On one end is the composer who creates something entirely from themselves; literally just their body and their voice, no technology involved. They might sing, clap, and stomp in a purely improvised performance, creating an original work that is entirely ‘human’. As we move along the spectrum, we start introducing tools and technologies that extend what the body can do.
At these early ends of the spectrum, that might be the human–machine collaborations of a violin or a cello. The performer still feels like the author of the work, but their authorship is now distributed across their body and the instrument. The music is only possible through their interaction with that tool.
Then we move into the world of recording. Technologies like microphones, tape machines, and DAWs allow us not only to capture sound but to shape and reorganise it. Here, authorship starts to spread out a little further. You might record fragments from synthesisers, field recordings, speech, or existing works, rearrange them, sculpt them, and construct a piece that exists mostly through the editing and transformation of material. The composition becomes a kind of organisation of material — structuring sound to give it some aesthetic meaning. In these contexts, the composer’s work entirely relies on the capabilities of modern technologies.
Tools, Systems, and Co-Creation
Things become more interesting when we get to technologies that don’t just record or process sound but actually start generating or influencing the musical material. MIDI effects in a DAW are a perfect example of this. They operate not on the level of concrete audio (as synthesisers and audio effects do), but on the level of abstract musical content — notes, rhythms, and chords. It’s possible to send a single note into a rack of MIDI effects, automate a range of parameters, and end up with a sophisticated chord sequence using inversions, borrowed chords, and extensions. The composer here is engaging in complex approaches to technology. But who is making the chords?
Or consider an arpeggiator, which transforms a single chord into a patterned melody. It’s not just amplifying the human input; it’s creating new abstract musical content (the notes rather than the sound of those notes).
The technology suggests material, and the composer reacts to it in a form of collaboration — approving it (keeping it in the work) or rejecting it (trying another set of parameters). The composer can unexpectedly stumble upon highly sophisticated ideas through these sorts of processes. They’re relying on the technology to produce their complexity. Is this any different from a composer sitting at a piano, and importantly, relying on the piano to find their complex harmonic sequences?
These sorts of systems blur the line between tool and collaborator. We’re still inclined to say that the resulting piece belongs to, and is authored by, the composer, even though the technology is now contributing directly to the creation of the material itself.
Further along the spectrum, we get to a stage where we start working with technologies that behave more like agents — systems that can generate musical ideas on their own, improvise, or respond to us in real time. These could be algorithmic improvisers, generative systems, or AI collaborators.
At this point, the question of authorship starts to unravel further. Who is the author here? Is it the composer, who initiated and guided the process? Is it shared with the coder or designer who built the system? What about the AI itself, which is now capable of producing new abstract and concrete material? We could say that it’s still the composer’s work — another case of using technology to extend creative capacity — but it does feel slightly different. There’s an agency to the process that pushes back, that seems to create with the composer-performer rather than for them.
Sampling, Assembly, and the Role of the Composer
Running parallel to these sorts of approaches is the culture of sampling. You can make a track entirely out of material from Splice — a drum loop from one person, a chord progression from another, and a melody from someone else. In these scenarios, almost every building block of the music comes from other creators — not to mention the technologies that went into creating and shaping those materials. Yet the sense of authorship still rests with the one who assembles it.
This kind of authorship is about reorganisation: curating, reframing, and recomposing pre-existing materials. It’s not unlike crate-digging or collage. Sure, the composer is not inventing the raw materials, but they’re reorganising them into new configurations, giving them new contexts and meanings, often drastically different from their origins. Authorship here becomes less about creating from nothing and more about the composer’s methods of moving things around — how they impose structure, taste, and intention.
In these settings, the composer engages with technologies or the processing of sourced material to create the core ideas and sounds. But their authorship comes from the assembly of these into musical structures.
Harvesting Authorship in the Ecosystem of Creativity
At the furthest end of the spectrum is the artist who types a prompt into an AI model, waits a few seconds, and receives a fully formed track — a finished .wav file that they can release immediately. Here, the idea of authorship becomes extremely fragile. Who made it?
It doesn’t quite make sense to call the human the ‘composer’ of the work. The creative labour has been abstracted away; the AI is the one producing the abstract and concrete musical materials and organising them into a musical structure. The human is left as the initiator, prompter, or commissioner.
But even here, it’s not completely clear-cut. If the AI outputs something editable — an entire DAW project, a SuperCollider patch, or even a .wav file that is then split into stems — the human can intervene, reshape it, and make it their own, potentially clawing back some authorship. In other words, the artist begins to harvest authorship back from the system. They inject themselves into the material, react to it, transform it, and in doing so, reclaim a sense of ownership. The process becomes a dialogue: a push and pull between automation and intention.
How is this process different from getting a sketch or full piece sent over from a collaborator, which the composer then pulls apart, edits, remixes, and makes ‘their own’? (I’m referring here to the differences concerning authorship, not the morals of replacing human collaboration of this kind with AI-human collaboration.)
Harvesting authorship describes the act of taking something that wasn’t entirely yours to begin with and imprinting yourself upon it through labour, curation, and interpretation. The more you interact, the more you reclaim.
Across this whole spectrum, from singing with your body to collaborating with generative systems, the underlying question doesn’t really change. Modern techniques of music-making have pushed us further away from that human-only end of the spectrum. But composition is still about how much of yourself you put into the process, and how much the system gives back. What shifts is where the creativity sits, and what forms it takes — in the body, in the workflow, in the code, or in the back-and-forth between the composer and their technology.
It’s also not just technology that we interact with in the creative process. Consider the interplay between the composer and the spaces they compose with in mind, or the audience members themselves. What about the composer drawing inspiration from biophonic and geophonic sources — birdsong, thunder, waves? Music-making is thus never a single-creator scenario. There is no single, individual author. Authorship, in the sense of ‘who made this?’, is a question of a vast ecosystem of culture, environment, and technology.
Maybe authorship isn’t about who made what from scratch, but about how creative intentions move through systems. It’s less about purity or originality, and more about interaction, orientation, and the ways we steer complexity into coherence — how an author of a creative work takes a set of inputs as material and shapes them into something aesthetically valuable.
In that sense, using AI in the creative process isn’t the ‘end of authorship’. It’s a change, for sure, but it’s really just another point on a spectrum that composition has always existed on.