There is a conversation that keeps finding its way into my life as an artist. It usually begins with a question about how I created a particular piece of artwork. Sometimes the question comes from genuine curiosity. Other times, I sense an underlying judgment about my use of artificial intelligence.
The conversation often seems to assume that if artificial intelligence was involved in producing the artwork, the artist must somehow have contributed less to its creation.
I find that assumption fascinating, frustrating, and worthy of a much deeper discussion.
I use artificial intelligence in my creative process. I also use photography, digital editing software, compositing techniques, and other technological tools. My work often moves through multiple stages of development before reaching its final form.
But there is an important distinction that I believe gets lost in conversations about AI-generated art.
There is a difference between using software to develop and execute an artistic vision and allowing software to determine that vision for you.
That distinction is central to how I work.
1. AI as a Brainstorming Partner
When I receive a call for artwork, particularly one with a short submission deadline, my first challenge is not necessarily producing the finished piece. It is deciding what I want the piece to communicate.
An exhibition might have a theme such as freedom, architecture, seasons, or the relationship between city and rural. Each theme can be interpreted in dozens of ways.
I use artificial intelligence to help explore those possibilities.
I might begin with an idea involving a particular subject, visual metaphor, or composition. AI allows me to examine alternative interpretations quickly, sometimes revealing possibilities I had not initially considered.
The advantage: AI expands the range of ideas I can explore within a limited period. Instead of spending days producing preliminary sketches for concepts I might ultimately reject, I can examine several directions in a single creative session.
The disadvantage: AI can introduce ideas that are visually attractive but have little relationship to my original intention. There is a danger of becoming so interested in what the software produces that I begin following its suggestions rather than my own artistic judgment.
This is where I believe the artist’s responsibility begins.
I must decide what the artwork is about before becoming distracted by what the technology is capable of producing.
AI can offer possibilities. It cannot decide which possibilities are meaningful to me unless I surrender that decision.
2. Rapid Prototyping Is Not the Same as Autonomous Creation
My professional background includes business analysis, technology, hand drafting, CAD and software development processes. In those environments, rapid prototyping is a familiar concept.
A prototype is not necessarily the finished product. It is a way to test an idea, examine alternatives, identify problems, and refine a design before investing substantial resources in production.
I apply that same thinking to artwork.
Suppose I am developing a composition for a gallery exhibition. I may want to see what happens when I move the central subject, change the perspective, reduce the visual complexity, alter the color palette, or introduce an architectural element.
Traditionally, each variation might require another sketch, photograph, painting study, or digital composite.
Today, software can accelerate that experimentation.
The advantage: I can make more informed artistic decisions because I can compare alternatives before committing to a final direction. This is particularly valuable when exhibition deadlines are short.
The disadvantage: Rapid prototyping can encourage endless experimentation. Just because I can generate another variation does not mean that I should. It is possible to spend so much time refining alternatives that the artwork never reaches completion.
There is also a more serious concern. An AI-generated prototype can look remarkably finished. That visual polish may tempt an artist to accept it prematurely.
I believe the solution is to distinguish between a convincing image and a successful artistic concept.
A beautiful prototype is not necessarily meaningful artwork.
And a technically impressive image does not automatically communicate what I intended.
3. Iteration Is Part of the Creative Process
Anyone who has watched me develop artwork knows that I rarely accept the first version of anything.
I make changes. Lots of changes.
I might ask for fewer lines, more negative space, a different perspective, a simplified color palette, or a stronger relationship between the subject and its background.
Sometimes I return to an earlier version because the newer one has lost something important.
These are not random changes. They are design decisions.
The advantage: Digital iteration allows me to test composition, balance, proportion, and visual relationships without repeatedly rebuilding an entire piece from the beginning.
The disadvantage: The ease of making changes can weaken creative discipline. An artist may become dependent on endless software-generated alternatives instead of developing the ability to recognize when a composition is working.
There is also the question of creative friction.
Some of my best artistic decisions emerge from struggling with an idea. When something is difficult, I must think about why it is difficult. That struggle can produce insights that would never emerge from simply requesting another variation.
I do not want technology to eliminate that process.
I want it to eliminate unnecessary repetition while preserving the intellectual and artistic work that matters.
4. The Difference Between a Prototype and a Finished Artwork
This is perhaps the most misunderstood part of my process.
Once I have established a concept that satisfies my artistic objectives, I move into post-production.
That is where I can make further decisions about scale, perspective, composition, visual emphasis, color relationships, texture, and artistic interpretation.
Depending on the piece, I may combine photographic elements, manipulate layers, adjust spatial relationships, introduce painterly treatments, or modify the overall visual language.
The image that emerges from the initial AI-assisted exploration is not necessarily the image that becomes my finished artwork.
The advantage: Post-production gives me additional opportunities to establish a recognizable artistic interpretation. It allows me to refine the visual experience beyond the initial prototype.
The disadvantage: Post-production does not automatically establish originality. Applying filters, changing colors, or adjusting dimensions to an AI-generated image does not necessarily transform it into a substantially different creative work.
That is an important distinction, and one I believe artists should be willing to examine.
The significance of post-production depends on the artistic decisions being made, not simply the number of software operations performed.
A hundred adjustments do not necessarily represent more creativity than one carefully considered decision.
5. Is Using AI Really So Different From Using a Digital Camera?
I find it interesting that many people accept sophisticated automation in photography without questioning whether the photographer created the image.
Modern cameras use computational processes to interpret light, calculate exposure, manage focus, reduce noise, process color, and generate JPEG files.
Smartphone cameras can combine multiple exposures, apply computational corrections, and make sophisticated image-processing decisions almost instantaneously.
Yet we generally recognize the photographer as the creator because the photographer chooses the subject, framing, timing, perspective, and intended visual result.
There is a useful parallel here.
The advantage of the comparison: It reminds us that technological assistance does not automatically eliminate artistic authorship. Artists have always adopted tools that change how images are produced.
The limitation: AI image generation is not identical to computational photography. A camera primarily records and processes information from a scene, while generative AI can synthesize visual content that was never photographed or physically arranged.
The degree of creative delegation can therefore be substantially different.
I do not think we strengthen the case for AI-assisted art by pretending these technologies are identical.
Instead, we should ask a more useful question:
Which creative decisions remain with the artist, and which decisions have been delegated to the technology?
That question applies to photography, digital compositing, painting, and AI-assisted image generation.
6. Who Is Responsible for the Artwork?
This brings me to the question at the center of the discussion.
If I originate the concept, establish the artistic direction, select the composition, evaluate alternatives, reject unsuccessful versions, direct revisions, and determine when the artwork is finished, am I not responsible for the overall creative production?
I believe I am.
But responsibility and authorship are not necessarily identical in every context.
There are several dimensions to consider.
Creative responsibility: I am responsible for the choices that shape the finished artwork, including what it communicates and whether it satisfies my intentions.
Artistic authorship: My claim to authorship is strongest when I contribute substantial original expression through concept development, composition, selection, arrangement, transformation, and finishing.
Legal authorship: Copyright law introduces additional questions. In the United States, human creative expression is central to copyright protection. Simply directing an AI system to generate an image does not necessarily establish copyright over every element it produces. Human-authored additions and sufficiently creative selection or arrangement may be protected, depending on the circumstances.
Ethical responsibility: I also have a responsibility to consider originality, transparency, intellectual property, and the requirements established by galleries or exhibition organizers.
These distinctions matter.
I can be responsible for the artistic direction and final presentation of a work without claiming that every pixel was manually created by me.
And I can acknowledge the contribution of technology without surrendering my role as the artist.
7. The Argument Against AI-Assisted Artwork Deserves Consideration
I do not believe every criticism of AI-generated artwork is unreasonable.
There are legitimate concerns about the sources of AI training data, the rights of other artists, the economic effects of automated image production, and the possibility that generated imagery may imitate established artistic styles without permission or acknowledgment.
There is also a concern that the ease of producing visually sophisticated images may reduce appreciation for traditional technical skills.
I understand those concerns.
An artist who spends years developing painting techniques, drawing skills, or photographic expertise has invested considerable time in mastering a medium.
AI can produce certain visual effects in seconds that once required extensive technical training.
That changes the creative landscape.
But I do not believe the existence of a faster tool automatically invalidates work produced with it.
Photography did not eliminate painting. Digital photography did not eliminate film photography. Photoshop did not eliminate the need for photographic judgment.
Each technological development changed what artists could do, how they worked, and what audiences expected.
AI is another significant change, although its ability to generate content and its reliance on training data introduce questions that earlier tools did not raise in quite the same way.
The challenge is not simply deciding whether AI belongs in art.
The challenge is determining how to use it responsibly while preserving meaningful human creativity.
8. What Happens When the Software Starts Making the Creative Decisions?
There is one risk that concerns me more than the criticism of other people.
It is the possibility that AI could gradually begin directing my creative decisions without my recognizing the shift.
Imagine beginning with a strong artistic concept. AI produces a polished interpretation. Rather than continuing to develop the original idea, I begin making adjustments to what the software has presented.
Eventually, I may find myself responding to the generated image rather than pursuing the artwork I originally imagined.
At that point, my role has changed.
I have moved from directing the creative process to reacting to it.
That does not automatically make the resulting work invalid. Artists have always responded to accidents, unexpected materials, and discoveries made during production.
But I want that change in direction to be deliberate.
I want to know when I am choosing a new artistic direction and when I am merely accepting one because the software made it convenient.
For me, the essential discipline is to establish my creative intentions, maintain the authority to reject attractive but irrelevant results, and preserve room for experimentation that comes from my own imagination.
The technology should expand my choices, not quietly make them for me.
9. Does the Process Matter More Than the Result?
This question is more complicated than it first appears.
When someone visits an exhibition, they may be moved by a piece without knowing anything about how it was created.
They respond to its composition, subject, symbolism, emotional impact, or relationship to their own experiences.
From that perspective, the finished artwork matters enormously.
But process matters too.
Knowing that a painting was created by hand, a photograph was captured under extraordinary circumstances, or an image was developed through a complex digital process can change how viewers understand and value it.
Neither perspective is necessarily wrong.
The visual experience and the story of the artwork’s creation can both contribute to its meaning.
What I resist is the assumption that one particular production method is the only legitimate measure of creativity.
A work should be examined for its artistic intention, execution, originality, and impact, while also being understood honestly within the context of how it was made.
10. I Am Not Interested in Defending Every Tool I Use
Perhaps the most important personal conclusion I have reached is that I do not need to turn every conversation about my artwork into a technical explanation.
I am willing to discuss my artistic ideas, the meaning behind a composition, and the decisions that shaped a finished piece.
I am also willing to acknowledge that artificial intelligence is part of my creative workflow.
But I do not believe every viewer is entitled to a complete account of my software, techniques, prompts, revisions, and production methods.
Curiosity is welcome.
Thoughtful criticism is welcome.
An expectation that I must continually justify my legitimacy as an artist is something different.
I would rather spend my time developing artwork than repeatedly defending the tools that help me develop it.
That does not mean avoiding accountability. When a gallery, buyer, licensing agreement, or exhibition requires disclosure, I believe in providing accurate information.
It means recognizing the difference between professional transparency and an endless debate over whether my creative process meets someone else’s personal definition of art.
11. My Position: The Artist Must Remain the Creative Director
After examining the advantages and disadvantages, I return to a principle that has become increasingly important to me.
Creative authority is not measured by how many hours an artist spends manually producing an image. It is demonstrated through the meaningful decisions that shape the work.
Technology can accelerate brainstorming.
It can help test alternatives.
It can make revisions more efficient.
It can support sophisticated post-production.
It can also encourage shortcuts, create dependency, introduce ethical complications, and weaken an artist’s connection to the original idea.
The tool itself does not resolve those questions.
The artist must.
I want to remain responsible for the concept, the direction, the decisions, and the final interpretation of my artwork.
I also want to remain curious about technologies that allow me to explore ideas that might otherwise remain unrealized because of time, resources, or technical constraints.
Those objectives are not mutually exclusive.
I can embrace innovation without abandoning artistic judgment.
I can use artificial intelligence without asking it to become the artist.
And I can acknowledge that the software contributed to production while maintaining that the creative vision, when it truly remains mine, is what gives the artwork its identity.
A Final Thought
Perhaps we have been asking the wrong question.
Instead of asking, “Did you use AI to create this?” perhaps we should be asking:
“What did you want to communicate, what decisions did you make, and how did you use your tools to bring that vision into existence?”
That is a conversation I would welcome.
Because for me, the most interesting part of creating artwork has never been simply which tool produced the image.
It is the thinking, experimentation, interpretation, and decision-making that transformed an idea into something worth sharing.
AI may help me explore what is possible. I remain responsible for deciding what is worth creating.
Ladee Kalenik Rickard is a Phoenix-area photographer and digital artist whose work combines photography, artistic interpretation, and emerging creative technologies. Her artwork explores places, stories, architecture, and visual narratives through both traditional and digitally assisted processes.
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