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Boden, M. A. (2011). Creativity & art: Three roads to surprise. Oxford: Oxford University Press.    
Added by: alexb44   Last edited by: Mark Grimshaw-Aagaard 19/11/2025, 00:40
"Some aesthetic values (as suggested in Chapter 4) may be enduring, because they are part of our biological heritage. But many are culturally based. [...] Values in general, whether enduring or not, can’t be justified—even though they may sometimes be explained—in scientific terms. In that sense, and in that sense alone, both creativity and art lie for ever beyond the reach of science."  
"Creativity is the ability to come up with ideas or artefacts that are new, surprising, and valuable."  
"P-creativity involves coming up with a surprising, valuable idea that’s new to the person who comes up with it. It doesn’t matter how many people have had that idea before. But if a new idea is H-creative, that means that (so far as we know) no one else has had it before: it has arisen for the first time in human history."  
"An idea may be surprising because it’s unfamiliar, or even unlikely— like a 100-to-1 outsider winning the Derby. This sort of surprise goes against statistics.
The second sort of surprise is more interesting. An unexpected idea may ‘‘fit’’ into a style of thinking that you already had—but you’re surprised because you hadn’t realized that this particular idea was part of it. Maybe you’re even intrigued to find that an idea of this general type fits into the familiar style.
And the third sort of surprise is more interesting still: this is the astonishment you feel on encountering an apparently impossible idea. It just couldn’t have entered anyone’s head, you feel—and yet it did. It may even engender other ideas which, yesterday, you’d have thought equally impossible. What on earth can be going on?"
 
What is valuable is more difficult to say. "Our aesthetic values are difficult to recognize, more difficult to put into words, and even more difficult to state really clearly" and values change across cultures, from subculture to subculture, and so on, even within science where descriptions can be vague or the value placed on a hypothesis (worthwhile or not and within what context) can vary. "Because creativity by definition involves not only novelty but value, and because values are highly variable, it follows that many arguments about creativity are rooted in disagreements about value."  
There are three paths to creativity:
  • combinational: Novel combinations of familiar things/ideas leading to an "intelligible conceptual pathway between them for the combination to ‘‘make sense’’" (p.32) rather than just a random combination.
  • exploratory: Conceptual spaces are pre-existing "structured styles of thought" (p.32). Ways of writing, sculptural forms, navigating geography and physical space, etc. Not all ways of navigating those spaces have been explored, although they do exist; new possibilities might be found and this might lead further to questioning the bounds of that space and what further potential possibilities might exist . . .
  • transformational: If exploratory creativity leads to questioning the limits of the conceptual space, transformational creativity takes it the obvious step further. Some conceptual spaces (e.g., a cartographic map) can't be changed; mental maps can be changed. "[T]hinking something which, with respect to the conceptual spaces in their minds, they couldn’t have thought before. The supposedly impossible idea can come about only if the creator changes the pre-existing style in some way" (p.34).
Zhou, E., & Lee, D. (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus, 3(3).    
Added by: alexb44   Last edited by: alexb44 24/02/2025, 14:06
"While generative AI has demonstrated the capability to automatically create new digital artifacts, there remains a significant knowledge gap regarding its impact on productivity in artistic endeavors which lack welldefined objectives, and the long-run implications on human creativity more broadly. In particular, if humans increasingly rely on generative AI for content creation, creative fields may become saturated with generic content, potentially stifling exploration of new creative frontiers."  
"A simplified view of human creative novelty with respect to art can be summarized via two main channels through which humans can inject creativity into an artifact: Contents and Visuals. These concepts are rooted in the classical philosophy of symbolism in art which suggests that the contents of an artwork is related to the meaning or subject matter, whereas visuals are simply the physical elements used to convey the content (7). In our setting, Contents concern the focal object(s) and relations depicted in an artifact, whereas Visuals consider the pixel-level stylistic elements of an artifact. Thus, Content and Visual Novelty are measured as the pairwise cosine distance between artifacts in the feature space (see Materials and methods for details on feature extraction and how novelty is measured)."

 

7: Huang S, Grady P, GPT-3. 2022. Generative AI: a creative new world. Sequoia Capital US/Europe. https://www.sequoiacap.com/article/generative-ai-a-creative-new-world/

 
"We define creative productivity as the log of the number of artifacts that a user posts in a month. Figure 1a reveals that upon adoption, artists experience a 50% increase in productivity on average, which then doubles in the subsequent month. For the average user, this translates to approximately 7 additional artifacts published in the adoption month and 15 artifacts in the following month. Beyond the adoption month, user productivity gradually stabilizes to a level that still exceeds preadoption volume. By automating the execution stage of the creative process, adopters can experience prolonged productivity gains compared to their nonadopter counterparts."  
"Figure 1b reveals an initial nonsignificant upward trend in the Value of artworks produced by AI adopters. But after 3 months, AI adopters consistently produce artworks judged significantly more valuable than those of nonadopters. This translates to a 50% increase in artwork favorability by the sixth month, jumping from the preadoption average of 2% to a steady 3% rate of earning a favorite per view"  
"The result shown in Fig. 1e highlights that average Visual Novelty is decreasing over time among adopters when compared to nonadopters. The same result holds for the maximum Visual Novelty seen in Fig. 1f. This suggests that adopters may be gravitating toward a preferred visual style, with relatively minor deviations from it. This tendency could be influenced by the nature of text-to-image workflows, where prompt engineering tends to follow a formulaic approach to generate consistent, high-quality images with a specific style. As is the case with contents, publicly available fine-tuned checkpoints and adapters for these models may be designed to capture specific visual elements from which users can sample from to maintain a particular and consistent visual style. In effect, AI may be pushing artists toward visual homogeneity."
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