Fairy Note 2
AI Aesthetics, Image Theory and Phantom Mirror: New Developments, August–September 2026
Where this follows from
Fairy Note 1 positioned Phantom Mirror alongside the mediated latent medium and hypermnesia (Norouzi & Prinz), aesthetic bias (Declos), image thinking (Toister & Zylinska), and the wider field mapped by Manovich & Arielli. The central proposition was that AI phototherapy investigates recognition through image-mediated thought. The following developments sharpen that position.
1. Prompt Culture and Inverted Ekphrasis
Key publication / debate: Norma Musih, “Prompt Culture: From Lines to Surfaces in AI Image Generation” (2026).
Musih describes a prompt culture in which language increasingly functions as a means of producing images rather than merely describing them. She calls this reversal inverted ekphrasis and develops the hyper-technical image from Flusser’s theory of technical images.
Relevance: AI phototherapy complicates the linear sequence language → image. Its recursive structure is: emotion → dialogue → language → image → response → refusal → revised language → image → recognition. The generated image returns to alter the thought and language that produced it. AI phototherapy can therefore be understood as recursive image thinking.
2. Operational Images and Operational Aesthetics
Key publication / debate: Jernej Markelj & Jakko Kemper, “Doing the Numbers: The Operational Aesthetics of AI Slop” (2026), with the longer operational-image lineage including Harun Farocki, Trevor Paglen and Jussi Parikka.
Operational images are significant partly because of what they do within systems rather than what they represent. Contemporary AI imagery can be optimised for attention, clicks, circulation, engagement and measurable response.
Relevance: This creates the sequence: aesthetic bias → optimisation → operational image → human refusal → recognition. It is also highly relevant to AVEVA because dashboards, sensor visualisations, digital twins and predictive representations participate in making industrial systems understandable and operable.
3. Resonance versus Recognition
Key publication / debate: Sofie Vlaad & Elliot Samuel Paul, “Appreciating AI Art: Aesthetic Vices, Virtues, and Values” (2026).
Vlaad and Paul propose discerning openness as an alternative to aesthetic snobbery and aesthetic naïveté. Their discussion of resonance, drawing on Samantha Matherne, describes an artwork hitting home because it connects with an individual’s experience or sensibility.
Relevance: Recognition in AI phototherapy is more than appreciation. The affective response to an image changes the subsequent making process. Image → affect → judgement → refusal/acceptance → further generation. Recognition is therefore generative.
4. AI Art and Psychotherapy
Key publication / debate: Popescu, Huțul, Huțul & Holman, “An exploratory semantic clustering study of how people describe AI art: Implications for psychotherapy” (2026).
The study brings AI-generated imagery explicitly into a psychotherapeutic context. Participants tended to associate traditional art with emotional expression and creative process, while AI art was more often associated with technology, artificiality, novelty and lack of authentic emotion.
Relevance: This sharpens the Phantom Mirror argument. The model does not need to possess emotion and the image does not need to contain an emotion intentionally placed there by the machine. Emotion can emerge relationally through the encounter between human experience and computational imagery. The stronger question is: Can encounters with AI-generated images mediate emotional recognition?
5. Latent-Surrealism
Key publication / debate: Anca-Simona Horvath, “Latent-surrealism” (2026).
Horvath connects generative AI with Dada, Surrealism and Conceptual Art, drawing parallels between datasets and readymades, generation and collage, hallucination and productive absurdity, and prompting and linguistic/conceptual instruction. Natural language becomes an operative artistic medium.
Relevance: This complements the mediated latent medium: language provides the navigational interface; latent space provides the field of possibility; recognition determines where navigation stops. Phantom Mirror is not primarily interested in latent space because it produces surreal imagery, but because it provides a field of visual possibility navigated through language, refusal and affective recognition.
6. Machine Organisation is not Human Experience
Key publication / debate: Recent research into aesthetic structure in multimodal embedding spaces.
Computational systems can organise images statistically, identify similarity, cluster, predict preference and generate aesthetic scores. None of this by itself demonstrates phenomenological experience.
Relevance: Phantom Mirror does not require AI consciousness. The more defensible proposition is that machine statistical organisation encounters human affective experience, and recognition occurs in that relationship. This allows discussion of distributed cognition without anthropomorphising the model.
Updated position of AI phototherapy
The medium: Norouzi & Prinz: generative AI constitutes a mediated latent medium characterised partly by hypermnesia.
The bias: Declos: that medium is not neutral. It contains aesthetic biases.
The thinking: Toister & Zylinska: images participate in thought rather than merely illustrating it.
The language: Musih and Horvath: natural language becomes an operative interface through which latent visual possibility is explored.
The optimisation: Markelj & Kemper: computational images increasingly operate within systems designed around measurable outcomes.
The encounter: Vlaad & Paul: human aesthetic encounters involve judgement, openness and resonance.
The intervention of AI phototherapy: Refusal interrupts optimisation. Navigation replaces complete authorship. Recognition replaces preference as the stopping criterion. The generated image participates in emotional thought.
Current working model
Emotion → dialogue → language → latent navigation → generation → encounter → refusal → further navigation → recognition → transformed emotional understanding
This returns to the experiential sentence: “I start with emotion and end with emotion.” The developing literature increasingly helps explain what happens in between.
Glossary additions from this update
Prompt Culture: Language functioning as an interface for producing generative images, rather than merely describing existing ones.
Inverted Ekphrasis: The reversal of traditional ekphrasis: language summons an image rather than describing one.
Hyper-Technical Image: A generative extension of Flusser’s technical image: images produced through computational systems themselves built from vast archives of prior technical images.
Operational Image: An image whose primary function is to act within, guide or make a technological system operable rather than simply represent something for contemplation.
Operational Aesthetics: An account of images judged partly according to what they trigger, optimise or enable within systems.
Discerning Openness: Vlaad & Paul’s alternative to both automatic rejection of AI art and uncritical acceptance of computational fluency.
Resonance versus Recognition: Resonance describes an artwork hitting home for an appreciator. Recognition in AI phototherapy is generative because the affective encounter becomes information that redirects the subsequent process.
Latent-Surrealism: Horvath’s term for surrealist-like aesthetic and methodological conditions arising from generative AI, including recombination, collage, hallucination and linguistic instruction.