← Encyclopedia
Skill
Introduction
Is it wrong for a user to ask an image-generation tool to produce a work in the style of a known calligrapher, or does the wrong begin only when that output is presented as if made by that person's own hand? This distinction defines the correct ethical stance toward artificial intelligence in Arabic calligraphy, away from the extremes of total prohibition or total justification of every use.
Definition and distinction
Three substantively different cases can be distinguished despite their surface similarity. The first case is using an AI tool as a means of personal exploration or study, as when a learner requests generated examples in the manner of a particular school to understand its visual characteristics before hand practice; this is a legitimate use in which no one claims manual authorship. The second case is publishing or selling AI output with clear disclosure that it is generated or AI-assisted, mentioning the source of stylistic inspiration without claiming it is by that specific calligrapher's own hand; this is ethically acceptable so long as its maker commits to full disclosure. The third case is presenting AI output as an original hand-made work by a specific living calligrapher, or as a recently discovered heritage piece attributed to a historical calligrapher; this is clear deception regardless of the tool used to produce it.
Picture an online store selling printed panels produced by an AI tool prompted with the name of a living calligrapher famous for his distinctive diwani style, to generate designs closely mimicking that style. The store nowhere states that the images are machine-generated, instead presenting them with language implying authentic artistic work, leading some buyers to assume the calligrapher himself made or approved them. The calligrapher discovers this when customers begin contacting him asking for his signature on copies he never wrote, or asking why his style's quality seems lower in those panels compared to his known works. The problem here is not the use of the AI tool itself, but the combination of missing disclosure with invoking a specific living person's name in a way implying his consent or direct authorship, which harms his reputation and his right to control how his name becomes associated with works he did not make.
Practical application
Step 1: Place a clear label stating that content is AI-generated or AI-assisted wherever it is shown or sold, not hidden in small print that is easy to miss.
Step 2: Avoid using a specific living artist's name as a generation prompt for commercial output offered for sale without obtaining that person's permission, even if the purpose is expressing admiration for their style.
Step 3: Review the terms of the platform you publish on and the laws concerning name and likeness rights in your country before linking a real person's name to commercial content.
Step 4: When using AI-generated examples for teaching purposes, explicitly tell learners that they are illustrative machine output rather than original work attributed to a specific calligrapher.
Step 5: If the platform you publish on offers a dedicated description field, use it to name the specific tool or model used in generation instead of relying on a vague phrase such as digitally assisted, since specificity gives viewers a more accurate understanding of the process without assuming more manual intervention occurred than actually did. If you use the same tool regularly, adopt a consistent disclosure policy applied to every piece you publish rather than deciding case by case, because consistency in this policy builds audience trust over time far more than intermittent disclosure that depends on the mood of the moment.
These steps do not prevent legitimate benefit from the tool in learning and exploration, but they prevent turning that benefit into impersonation or a false claim of manual authorship that never took place.
Context that changes the meaning
The judgment differs with several combined factors. An educational or assessment context within a platform that explicitly states its use of AI tools in analysis and evaluation differs from an open market where a buyer assumes hand-made work unless stated otherwise. The matter also differs according to the identity of the person whose style was drawn on: a calligrapher deceased for centuries holds no personal objection or standing personal rights, unlike a living calligrapher who can actually object to commercial use of his name or style. Personal use for private study also differs from commercial sale or entering a competition requiring original hand-made work while falsely claiming manual authorship that did not occur. The matter also differs with the nature of the style being invoked: referencing a general historical school such as the Ottoman style or a particular city's manner does not raise the same concern as mimicking a distinctive personal signature style a living artist developed over years, because the former is shared heritage no individual owns, while the latter is closer to a personal visual identity its owner has a right to control commercially. Some legal systems also impose what is known as a right of publicity or personality right protecting exploitation of a living person's name or distinctive commercial likeness without consent, regardless of the tool used in production, so invoking their name in a generation prompt does not automatically escape this right merely because the intermediary is a piece of software.
Limits of the term and common mistakes
A common fallacy assumes that merely adding a disclosure statement removes every ethical issue regardless of context, even though invoking a living artist's name and professional reputation in commercial output is not automatically available even with disclosure present, because disclosure addresses honesty toward the buyer, not the separate matter of that named person's own permission. A corresponding mistake assumes a blanket ban on any use of AI tools in learning or analyzing calligraphy, an overly rigid stance that ignores the fact that these same tools are legitimately used for analysis and evaluation within this very platform, making an inconsistent double standard unjustifiable to demand of a learner. A subtler mistake assumes that a human later selecting the best among multiple outputs or adjusting small details automatically turns the result into fully hand-made work requiring no disclosure, even though the essence of automated generation of the core composition remains regardless of how much subsequent editing occurred, and what determines the need for disclosure is the tool's actual contribution, not merely a final editorial touch. Conversely, it is wrong to treat any use of the phrase in the style of a named figure describing an independently hand-made human work as a violation; openly acknowledged artistic influence from a human teacher's style is a well-known and accepted part of calligraphy's own traditions, so long as the work is actually made by its claimed writer's hand rather than being automated output falsely attributed to them.
Conclusion
The practical standard here is clear: state plainly what AI produced and whose style inspired it wherever the output is shown or sold, and never attribute a generated work to a specific person's confirmed hand unless that person actually made it themselves. This disclosure does not diminish an artwork's value in the eyes of an aware audience; it protects your own credibility over the long run far more than ambiguity ever would.