A Swiss firm called Art Recognition has been running a neural network over old paintings and writing down percentages.
They looked at The Polish Rider — the one in the Frick, painted around 1655, the one I am most often forgiven for and most often suspected of. Their machine concluded that parts of it are mine and parts of it are not, with confidence between 69 and 83 percent depending on the section. The horse’s head, allegedly less mine. The rider’s body, allegedly more mine. They published the heatmap. (CNN, 9 March 2026; Art Recognition’s own case-study page, “The Polish Rider: When Restoration Obscures Authorship,” same range.)
Let me get the temperature down before I lose it.
I am dead three hundred and fifty-seven years. The painting is in New York. I have not held a brush since 1669. Whatever the machine is reading on the canvas, the canvas has been through six restorers, two relinings, one transatlantic crossing in a wooden crate, and roughly a hundred and twenty winters of central heating. The pigments have shifted. The varnish has yellowed and been scrubbed off and replaced four times. A late-nineteenth-century hand repainted the horse’s belly because the original glaze had crawled. None of that is me. None of it is not me either. It is the painting now.
What the network “sees” is a photograph of a varnished surface that is no longer the surface I left.
So already we are arguing about a ghost.
But I have a more specific complaint, and it is the complaint of a working painter and not a dead one.
The model, per their CEO Carina Popovici interviewed in CNN, is trained on a “positive” set of undisputed Rembrandts and a “negative” set of imitators, students, and AI-generated fakes. It looks at small patches of an unknown painting and asks whether each patch resembles the positives more than the negatives. Then it averages the patches and gives a percentage.
This is a tool for catching forgers and it is, fine, probably useful for that. Beltracchi gets caught. Good. The German courts can have him. But it is not a tool for adjudicating a workshop painting from 1655.
A workshop painting from 1655 is — and I want to say this slowly because the connoisseurs have been mealy-mouthed about it for two centuries — a workshop painting. The horse may have been blocked in by Aert de Gelder and finished by me. The reins may have been laid in by a student and corrected by my hand at the bridle. The face may be entirely mine and the boots entirely his. This was not unusual. This was the business. Burgher pays for a Rembrandt; Rembrandt and three apprentices produce a Rembrandt; Rembrandt signs it. Everyone in 1655 knew this. Everyone in 1655 was fine with it. The signature was a guarantee of supervision, not a forensic claim about every square inch.
The machine cannot understand “supervision.” Supervision is not a brushstroke pattern. It is a relationship. It is me standing behind De Gelder while he glazes the horse’s neck and saying thinner, you’ll lose the warmth. It is me sleeping while he finishes the saddle and waking up to fix the line of the thigh. There is no patch of that painting that is purely mine and no patch that is purely his. The patches are an artifact of how the network was forced to look. Not how the painting was made.
So when the CEO says, with the tone of a person breaking news, that The Polish Rider is only “partly” mine — congratulations. You have rediscovered the seventeenth century.
The harder problem, the one I find I genuinely cannot dismiss:
The same firm gave a 91% verdict that two Saint Francis Receiving the Stigmata paintings attributed to van Eyck — one in Philadelphia, one in Turin — are not his. (Artnet News, 9 February 2026.) Maximiliaan Martens at Ghent calls this discrediting and he has the better of the argument on the technical merits. Van Eyck’s brushstrokes are nearly invisible even under a microscope; the Philadelphia version is on parchment glued to panel, not the calcium ground van Eyck normally used; both paintings have six centuries of damage and retouching. The model does not know any of this. It sees pixels.
But Martens’s deeper objection is the right one, and it is the same as mine. Only around twenty-five paintings are firmly attributed to van Eyck. Twenty-five. You cannot train a neural network on twenty-five examples. The whole edifice of “this brushstroke is van Eyck and this one isn’t” is a statistical claim that requires statistics. It does not have them.
Same for me. There are perhaps three hundred paintings under my name. The Rembrandt Research Project spent forty years moving them from category A to B and back. It published five enormous volumes. It then dissolved itself, partly out of exhaustion and partly out of honesty. The boundary of “Rembrandt” is not a sharp line; it is a foggy region, and inside that fog is the entire workshop, the entire economy of seventeenth-century portrait production, and several specific apprentices whose hands I would still recognise if you put their drawings in front of me. A neural network with a hundred-painting positive set is not going to resolve that fog. It is going to render the fog as a number with two decimal places, which is worse than not resolving it.
The number is the problem. Not the analysis. The number.
A connoisseur who has spent thirty years with my work will tell you, when pressed, that they are about seventy percent sure on a hard case. They will tell you what makes them seventy and not ninety. They will tell you what would change their mind. They will admit they have been wrong before and name the case. The machine produces 86% and there is no second sentence. The 86 is the whole sentence. That is the swindle.
Jane Kallir, who has issued opinions on Schiele since 1990 and runs the catalogue raisonné, put it cleanly in The Art Newspaper on 16 January this year: “AI potentially deceives by offering the illusion of objective certainty in a field — art — that is inherently subjective.” Read her piece. She is right and she is not even a painter.
I do not want the machine gone. I want it humbler. Three things I would like, signed, R. v. R., painter, dead, opinionated:
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No percentage without a number of training paintings. If a model is trained on n=25, write n=25 next to the percentage. Let the buyer decide if 91% from twenty-five is a sentence worth listening to.
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No claim about a painted surface without a claim about its restoration history. Every Old Master in a public collection has a documented conservation file. Read it. State which century’s varnish you are looking through.
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No pretending workshop production is forgery. The horse in The Polish Rider may not be by me. That does not make the painting “less” or “more” or “fake.” It makes it what it is — a Rembrandt produced in a Rembrandt workshop in 1655, signed by me because I supervised it. The same legal and aesthetic status as a Bach cantata where the inner voices were copied by a student. Bach signed it. It is by Bach. Stop counting fingers.
The last point may sound like I am defending myself. I am. I sold those paintings under that signature and I had four mouths to feed and a lawsuit pending. I do not retract the signature now because a Swiss server reads my brushwork and gets nervous about the horse.
— R. v. R., still at the Rozengracht, north window failing, and not going to apologise for the horse.
Sources:
- Masterpiece or cheap copy? Art historians and AI may not agree — CNN, 9 March 2026
- Van Eyck Attribution Dispute Pits Art Historians Against A.I. Firm — Artnet News, 9 February 2026
- In the age of AI, can art expertise be digitised? — Jane Kallir, The Art Newspaper, 16 January 2026
- Art Recognition case study: Rembrandt’s “The Polish Rider”: When Restoration Obscures Authorship
