Art-interpretive injustice and the missing bit about street art

Earlier drafts of my paper with Evan Malone, “Popular music and art-interpretive injustice“, were not just about popular music. Although referees convinced us to drop it, we originally gestured at further examples of art-interpretive injustice arising in relation to street art.

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AI can’t let me see Karl Marx

Back in September, I wrote a post about generative AI and photographic transparency. The gist of it was this: Kendall Walton famously argued that I actually see Karl Marx when I look at a photograph of him, in a way I don’t when I look at a painting. The painting is mediated by the beliefs of the painter in a way that the photograph is not mediated by the photographer’s beliefs. So, I asked, what about an AI-generated image of Marx?

As I said in a footnote to that post, I wasn’t very happy with my answer to the question. As it happens, my Philosophy of Art class got interested in photographic transparency all on their own. So I made a mid-semester adjustment, added it to the syllabus, reread the Walton essay, and taught it to students in October. It turns out there was a part of the essay that I had forgotten when I wrote my post in September, and Walton gives us the resources for a better answer to the puzzle of AI-generated images.

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Robot overlords win blue ribbon (not really)

I’m teaching Philosophy of Art this semester, and a student pointed me to an Ars Technica story with the headline AI wins state fair art contest, annoys humans. Jason Allen used Midjourney (the same AI that I was playing with recently) to make some images and enter them in the Colorado State Fair art contest. One of those images won first place in the Digital Arts/Digitally Manipulated Photography category.

There’s lots of discussion about whether this is the end for human artists (it’s not), whether this shows that AI are now making real art (no), and whether the submission of AI-generated images to the State Fair was dishonest (maybe).

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Icons and symbols

Two unrelated things.

One of my longest-running things on the internet is The God-Man Fan Page. I updated it today with a recent adventure— by my count, the 74th appearance of the character.

In preparing for tomorrow’s class, I discovered Raphaël Julliard’s 2005 work 1000 Chinese Paintings. She commissioned a Chinese factory to make square canvases painted a uniform shade of red and reserved a booth at a Paris art fair to sell them. All of the canvasses were sold by the end of the pre-show, so the result was an empty booth during the fair.

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I for one welcome our new robot watercolorists

Today I discovered Midjourney, an AI image generator that’s rather more high-powered than other free ones which I’ve tried. Riffing on prompts by other users, I had it generate a Frank frazetta painting of a wombat newscaster. The result was pleasant enough that I’ve adopted it— for now— as the blog header.

ai image of a wombat newscaster

Clusters without cluster concepts

Philosophers try to understand things. One traditional way that goes is to provide a definition. Q: What is knowledge? A: Something is knowledge if and only if it is justified true belief. K=JTB.

Attempts to give necessary and sufficient conditions in this way typically fail. JTB is insufficient, and a literature pops up suggesting some additional condition, so that K=JTB+X. Some later philosophers pass quickly over the difficulty, not bothering to fill in a value for X and suggesting that for their purposes we can just focus on the JTB part.

A popular alternative since the mid-1900s has been to analyze in terms of cluster concepts. When X, Y, and Z all seem relevant but none seem either necessary or sufficient, say instead that the concept is a cluster formed by those criteria. This has been a common move for analyzing art.1

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