A poet writes a line and knows, or believes he knows, what it is meant to express. Years later, he rewrites that line for a song. He chooses a new refrain, imagines a particular emotional atmosphere, and introduces the words into an artificial intelligence music system. The resulting recording may seem to understand his intention. It may also surprise him, contradict his expectations, or emphasize something he had considered secondary.
Who, then, is responsible for the meaning that reaches the listener?
The question is more complicated than deciding whether the machine is creative. It concerns the relationship between intention and expression, between literary language and musical form, and between what a human being attempts to communicate and what an audience actually experiences.
AI-assisted music makes these relationships unusually visible. It places several stages of artistic mediation between the original poem and the eventual listener. Yet the underlying problem is older than artificial intelligence: an artistic work has never belonged entirely to the intentions of its creator.
What Does a Poet Actually Intend?
To speak of poetic intention as though it were a single, clearly defined message is already to simplify the nature of writing.
A poet may begin with a moral conviction, an emotional disturbance, a remembered image, or a question that cannot easily be answered. But the act of composition often changes the writer's original understanding. A metaphor suggests an unexpected connection. A rhythm encourages a different word. An ambiguous expression survives precisely because it communicates more than one possible meaning.
The finished poem may therefore contain implications that were not explicitly anticipated when the writing began.
Consider a poet who uses a violin as a symbol of peace. The intention might be to contrast music with violence. Yet readers may also recognize the violin as an emblem of childhood, cultural memory, artistic discipline, mourning, or an ordinary life interrupted by war.
These interpretations do not necessarily contradict the poet. They emerge from the symbolic possibilities of the image.
The distinction matters because intention is not identical to meaning. Intention belongs to the creative act; meaning develops through the language, structure, cultural associations, and interpretive possibilities of the work.
A poet can explain what prompted a particular image. That explanation may illuminate the poem. It does not automatically eliminate every other defensible reading.
The Old Debate About Authorial Intention
Literary criticism has explored this problem for decades.
In their influential 1946 essay The Intentional Fallacy, W. K. Wimsatt and Monroe C. Beardsley challenged the assumption that an author's declared intention should serve as the decisive standard for interpreting or evaluating a literary work.
Their argument did not require denying that writers possess intentions. Rather, it questioned whether those intentions should determine the meaning and artistic achievement of the completed text.
Other approaches have given greater importance to the historical circumstances of composition and to the author's communicative purpose. Intentionalist philosophers and literary theorists have argued, in different ways, that understanding what an author was trying to accomplish can be indispensable to an adequate interpretation.
The disagreement remains productive because both sides identify genuine difficulties.
If intention alone controls interpretation, the work risks becoming little more than an illustration of the author's explanation. But if intention is excluded completely, criticism may overlook the historical, ethical, and artistic decisions that gave the work its form.
A more useful approach to poetry adapted into music is to distinguish three questions: what did the poet seek to express, what does the resulting work make available to interpretation, and how does a particular listener experience it?
These questions overlap, but they are not interchangeable.
AI-assisted music introduces another layer into this longstanding debate. Between intention and reception now stands a generative system whose outputs are influenced by human instructions but are not always predictable in their expressive details.
Rewriting a Poem Is Already an Act of Interpretation
Before discussing the machine's contribution, we should recognize something easily overlooked: a poet who transforms an earlier poem into song lyrics has already become an interpreter of his own writing.
This is especially clear when several years separate the original composition from its musical adaptation.
The poet is no longer necessarily the same artistic person who wrote the first version. Experiences have accumulated. Social circumstances may have changed. The earlier poem may now appear incomplete, unusually revealing, or open to possibilities that were not apparent at the time.
Rewriting involves judgments about which elements are essential and which may be transformed.
Should an image remain in its original position? Does a dramatic question deserve repetition? Would a new verse clarify the situation or weaken its ambiguity? Should the conclusion remain unresolved, or should the song provide a more explicit emotional movement?
These decisions are neither mechanically determined nor artistically neutral.
Moving a sentence from a final stanza into a recurring chorus, for example, can fundamentally alter its function. In the poem, the sentence might arrive as a revelation. In the song, its repeated appearance may create anticipation, insistence, collective recognition, or even emotional exhaustion.
The words may remain similar, while their rhetorical roles change.
Such rewriting is not a failure of fidelity. It can be a legitimate artistic development. But it requires recognizing the distinction between an original poem and a new work derived from it.
The resulting song should be judged not only by its resemblance to the poem but also by the intelligence and coherence of its transformations.
What Does the Machine Interpret?
The expression machine interpretation needs careful qualification.
When a human musician interprets a poem, that musician may understand its language through personal memory, cultural knowledge, emotional experience, and a developed artistic practice. A singer may decide how to phrase a line because its meaning resonates with something experienced or understood.
A generative music system operates differently.
Such systems generate musical outputs through computational processes shaped by training, architecture, input conditions, and available controls. They can produce results that listeners experience as emotionally expressive. This does not establish that the system understands grief, tenderness, resistance, or longing as a person does.
The distinction does not make the output irrelevant. It clarifies the kind of interpretation under discussion.
In this context, machine interpretation refers to the musical realization of supplied words and creative instructions: choices of melodic contour, vocal presentation, arrangement, pacing, and other audible features produced through the system.
Those choices may align with the poet's expectations. They may also depart from them.
A lyric intended to express restrained sorrow might acquire an unexpectedly triumphant musical character. A question written as an expression of uncertainty might be delivered with apparent confidence. A delicate image might receive an arrangement that makes it sound monumental.
These are illustrative possibilities, not claims about a particular recording.
What matters is that musical realization affects literary interpretation. The same words can appear contemplative, ironic, hopeful, threatening, or consoling depending on how they are presented.
Music does not merely decorate language. It participates in the listener's construction of meaning.
Human Control Is Real, but It Is Not Absolute
Discussions of AI-assisted music sometimes exaggerate one of two opposing claims.
According to the first, the human creator merely presses a button while the machine performs the meaningful artistic work. According to the second, because a human supplies the words and instructions, every expressive feature of the result should be attributed to that person.
Neither description is adequate for all creative workflows.
A human artist may write the original poem, rewrite the lyrics, identify a thematic direction, specify stylistic preferences, evaluate successive versions, and decide which recording should be released. These actions can involve substantial creative judgment.
At the same time, specifying a desired atmosphere does not necessarily determine the exact musical realization. The system may generate melodic, rhythmic, vocal, or textural details the user did not individually compose.
Suno, for example, documents options for entering original lyrics, specifying musical styles, generating alternative versions, and editing or replacing sections. Such controls give the user meaningful opportunities to direct and revise an output. They do not establish that every generated note originated in a human compositional decision.
We should therefore distinguish between creative direction and complete compositional control.
Creative direction concerns the objectives, constraints, judgments, and selection processes that shape a work. Complete compositional control would require responsibility for the particular musical elements themselves.
The relationship between these forms of agency varies according to the tool, workflow, material supplied, and subsequent editing.
It is also important to separate human authorship of lyrics from the authorship of generated audio. A writer's ownership of original words does not, by itself, resolve the legal or philosophical status of every additional element in the recording.
When Sound Changes the Meaning of Words
Why does musical realization matter so much to poetic intention?
Because music influences not merely what listeners hear but also how they organize their attention.
In a printed poem, the eye can return immediately to an earlier line. The reader may pause at punctuation, reconsider a metaphor, or notice how one stanza modifies another. Reading time remains partly under the reader's control.
A song unfolds through a temporal performance. Its pace, repetitions, changes of intensity, and vocal presentation can guide attention before a listener has fully considered the words.
Imagine a poem containing a question about whether human beings can choose compassion over violence.
On the page, the question might appear only once, at the conclusion. Its force would depend on everything preceding it.
In a song, the same question could become a refrain. The listener would hear it repeatedly, possibly with a changing musical context. The repetition could make the question more memorable, but it might also reduce the surprise of its final appearance.
Neither consequence is guaranteed.
The artistic result depends on how the repetition interacts with lyrical development and musical form.
For a related discussion of how an instrument can accumulate meanings through history and context, see The Violin as a Symbol of Peace, Memory and Resistance in Music.
The broader principle is that a musical adaptation does not simply transport a poetic meaning into another medium. It reconstructs the conditions under which meaning becomes perceptible.
The Problem of an Unexpectedly Beautiful Result
Suppose a poet requests a restrained musical adaptation and receives something unexpectedly elaborate. The result is compelling, but its character differs from the original intention.
Should the poet reject it because it departs from the plan?
Not necessarily.
Creative practice has always included discovery. A painter may discover an unintended relationship between colors. A novelist may recognize that a minor character has become more important than originally planned. A composer working with performers may hear possibilities that the written score did not fully anticipate.
Unexpected results can become aesthetically valuable when an artist recognizes and develops them.
Yet the analogy has limits.
A human collaborator can explain artistic choices, negotiate interpretations, and bring independent experiences to a discussion. A music-generation system does not participate in that kind of human exchange merely because its output is surprising.
The poet's responsibility is therefore to evaluate the unexpected result rather than romanticize its origin.
Does the musical treatment intensify the text's central conflict? Does it introduce a meaningful contrast? Does it obscure an essential ambiguity? Does the emotional effect arise from a persuasive artistic relationship between sound and language, or from familiar production conventions that merely create an impression of intensity?
A beautiful result may depart productively from an initial intention. But beauty alone does not establish that the departure was artistically appropriate.
Selection Is an Artistic Decision, Not a Complete Explanation
One potentially important human role in generative music is selection.
When an artist considers several candidate recordings and chooses one, that choice can reflect an interpretation of the poem, an aesthetic standard, or an understanding of the intended audience.
Selection can also reveal what the artist values most.
One version may emphasize the narrative, another the repeated question, and another the overall emotional atmosphere. Choosing among them can help determine which aspects of the literary work become prominent in the released adaptation.
But selection should not be confused with composing every feature that has been selected.
A curator's decisions may be creative without implying that the curator made every exhibited object. Similarly, a director's judgment can shape a film without erasing the contributions of actors, cinematographers, and composers.
These comparisons are imperfect because generative systems are not human collaborators. Nevertheless, they help clarify the difference between responsibility for a final artistic choice and direct production of its every component.
The relevant question is not whether selection counts as creativity in the abstract. It is how much meaningful artistic judgment a particular process actually involves.
A Poetic Experiment: From Page to Song
Ali Taha Alnobani's Rifle and Violin, written in 2011 and first published online in March 2013, offers a useful case.
The poem imagines a musician caught in war. The violin he once held has been replaced by a rifle, while the remembered voice of his daughter Julie interrupts the possibility of violence.
Its ending transforms a physical object into a moral question.
In 2025, Alnobani rewrote the poem as the song Rifle or Violin?, developing the lyric with additional material and a recurring chorus. Suno AI was used to assist the musical production.
The difference between the titles is significant: and places two instruments in relation; or makes the choice more explicit.
The rewritten lyric and its generated musical realization represent distinct stages of interpretation. The original moral dilemma remains available, but its presentation changes.
Alnobani discusses the literary transformation in From Rifle and Violin to Music: When Poetry Finds Another Voice.
Interpretation Without a Human Interpreter?
The apparent paradox of AI-generated music is that listeners can experience an expressive interpretation without an equivalent human interpretive consciousness behind every generated detail.
This is not a trivial philosophical problem.
In ordinary language, we often describe music as sad, joyful, anxious, or defiant. These descriptions do not necessarily imply that the sounds themselves possess feelings. They describe perceptible characteristics and the responses those characteristics make possible.
Similarly, we can say that a generated musical passage presents a poem as melancholy without claiming that the generating system has experienced melancholy.
It is therefore possible to discuss an output's expressive significance without attributing human mental states to the system.
However, we must not confuse an aesthetically convincing surface with evidence of deliberate emotional understanding.
A listener may hear tenderness in a generated voice. That response can be genuine, even if the voice was not produced by a human singer experiencing or intentionally communicating the emotion.
Some listeners will regard that distinction as fundamental to artistic value. Others will judge the resulting relationships among words, sounds, and emotions more independently of their origin.
Both positions deserve attention.
For those who value artistic performance as a human encounter, the absence of a human performer may change the meaning of listening. For those who emphasize the perceptible work, a moving musical result may remain worthy of serious interpretation.
The disagreement cannot be settled by declaring that listeners are mistaken about their own responses, nor by assuming that a strong response resolves every concern about authorship and creative labor.
Who Is Accountable When the Interpretation Misfires?
Questions of artistic responsibility become particularly important when generated music changes the perceived ethical meaning of a poem.
An anti-war lyric, for example, might receive a musical treatment that some listeners interpret as celebrating confrontation or military grandeur.
The original writer may never have intended such an effect. Nevertheless, the published recording is what the audience encounters.
That distinction suggests a responsibility to examine the relationship between verbal content and musical presentation before release.
It also demonstrates why the creator's explanation cannot automatically settle criticism.
Listeners may reasonably point to tensions between a declared message and an audible artistic result. The artist, in turn, may offer contextual information that changes how the recording is understood.
Criticism should examine both.
For an exploration of this ambiguity in anti-war music, see Can Music Stand Against War? From the Rifle to the Violin.
There is an additional ethical dimension. Responsibility also concerns how creative contributions are described publicly. Human-written lyrics, human artistic direction, generated music, digital editing, and any human performance should not be presented as though they were interchangeable.
Transparent attribution allows audiences to evaluate the work without being misled about its production.
Authorship, Copyright, and the Limits of Attribution
Questions of aesthetic responsibility and legal authorship are connected, but they are not identical.
In January 2025, the United States Copyright Office published the second part of its report on copyright and artificial intelligence. Its analysis maintained the importance of human authorship while recognizing that AI-assisted works may contain protectable human contributions, including original material and sufficiently creative human modifications or arrangements.
The report did not establish that supplying a prompt alone automatically constitutes authorship of the generated expression.
This legal discussion is relevant because artistic workflows may combine materials with different origins and different potential legal treatment.
A poem may be an original human-authored work. A rewritten lyric may introduce further human expression. A generated recording may contain additional elements whose status requires separate examination.
Legal conclusions also depend on jurisdiction and the specific circumstances of creation.
None of this determines whether a song is aesthetically successful. Copyright law addresses legal protection; literary criticism asks what the work means and whether its formal and expressive choices are persuasive.
Still, both fields benefit from precision about what the human artist actually contributed.
Can a Machine Reveal Something the Poet Did Not Know?
There is a tempting argument that an unexpected musical realization can uncover meanings hidden from the poet.
This possibility requires careful wording.
The machine need not possess special insight into the author's psychology for its output to reveal a new interpretive possibility to a human listener.
A surprising combination of sound and language may draw attention to a contrast previously overlooked. A phrase originally understood as sorrowful might also begin to suggest defiance. A line intended as a conclusion might become more interesting as an unanswered question.
Such discoveries belong to the encounter between the existing text, the generated result, and human interpretation.
They do not prove that the machine has discovered the poet's unconscious intentions.
The distinction protects criticism from technological mystification while preserving the possibility of genuine artistic discovery.
A poem may be more complex than its author initially realized. A new artistic form can make some of that complexity visible or audible. But the value of the discovery must still be examined through the resulting work.
Meaning Emerges Through a Relationship
The most illuminating model of AI-assisted poetic adaptation may therefore be neither total human control nor autonomous machine creativity.
It is a layered relationship.
The poet supplies an earlier literary work, itself shaped by language, memory, craft, and historical circumstances. Rewriting introduces a new human interpretation. Musical generation creates an audible realization under particular technical conditions. Selection and revision shape what is finally published. Listeners then encounter the work through their own experiences and expectations.
Every stage can influence what the artistic expression becomes.
Yet the stages should not be treated as equally intentional or equivalent in kind.
The poet possesses human experiences and communicative purposes. The rewritten lyric embodies identifiable literary decisions. The generative system produces musical material through computational processes. The listener interprets the outcome as an expressive event.
These distinctions make it possible to recognize human creativity without denying the significance of generated musical features.
They also make criticism more demanding.
Instead of asking only whether a song was produced with AI, we can ask how effectively its words and sounds interact, what artistic decisions are evident, which expressive changes are justified, and whether the final work develops the possibilities of the original poem.
The Poet's Intention Is a Beginning, Not a Prison
A poet has good reasons to care about how a poem is transformed. Its images may carry personal histories, ethical commitments, or delicate ambiguities that should not be altered casually.
But perfect obedience to an initial intention is not the only measure of artistic success.
A musical adaptation can remain faithful to the deeper concerns of a poem while changing its language, structure, and emotional movement. It can also fail despite preserving the original words almost exactly.
The central question is whether the transformation creates a coherent and meaningful new work.
AI-assisted music complicates that judgment because some expressive decisions emerge from a system rather than from a human composer or performer. The complication should encourage greater critical attention, not automatic praise or dismissal.
The poet remains responsible for the human intentions and choices involved in creating, selecting, shaping, and presenting the work. The system's generated contribution should be acknowledged for what it is. The listener remains free to discover meanings that neither the initial instructions nor the published explanation can fully contain.
A poem, after all, is not a command that every future interpretation must obey.
It is an artistic form through which one human imagination becomes available to others.
When that form enters music, the journey becomes more complex. Artificial intelligence introduces new possibilities of mediation, but it does not abolish the fundamental distance between intention and understanding.
Perhaps the most important task is not to eliminate that distance. It is to approach it with care: to preserve the integrity of the human voice, acknowledge the nature of the technology, and judge the resulting art by the depth and honesty of the experience it makes possible.
References and Further Reading
Stanford Encyclopedia of Philosophy. Beardsley's Aesthetics. Discussion of Wimsatt, Beardsley, and the problem of authorial intention.
Stanford Encyclopedia of Philosophy. Hermeneutics. Philosophical approaches to interpretation, meaning, and intention.
U.S. Copyright Office. Copyright and Artificial Intelligence. Official reports, including Part 2 on copyrightability, published January 29, 2025.
Suno Help Center. Can I Use My Own Lyrics? Documentation of human-supplied lyrics and Custom mode.
Ali Taha Alnobani. When Poetry Becomes Song: Revisiting Three Poems After More Than a Decade. Write Out Loud, October 26, 2026.
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