L'estetica dell'intelligenza artificiale. Modelli digitali e analitica culturale

by Lev Manovich, Valentino Catricalà (Editor), Gaia Bobò (Translator)

Modelli digitali e analitica culturale.

L'intelligenza artificiale svolge una funzione cruciale nell'ecosistema culturale globale. Consiglia ciò che dovremmo vedere, ascoltare, leggere e acquistare. Decide quante persone vedranno i nostri contenuti condivisi. Ci aiuta a prendere decisioni estetiche quando creiamo contenuti digitali. Nella produzione culturale, l'IA viene da tempo utilizzata per produrre trailer di film, album musicali, articoli di moda, design di prodotti e web, architettura ecc.

Lev Manovich ci presenta un quadro sistematico per aiutarci a pensare agli utilizzi culturali dell'IA attuali e futuri. E ci offre la possibilità analitica per comprendere i media, il design e l'estetica nell'era dell'IA.

Genres: Nonfiction, Technology, Art, Artificial Intelligence, Computers, Academia

111 pages, Paperback

First published January 1, 2018

About the author

Lev Manovich is an artist, an author and a theorist of digital culture. He is a Distinguished Professor at the Graduate Center of the City University of New York. Manovich played a key role in creating four new research fields: new media studies (1991-), software studies (2001-), cultural analytics (2007-) and AI aesthetics (2018-). Manovich's current research focuses on generative media, AI culture, digital art, and media theory.
Manovich is the founder and director of the Cultural Analytics Lab (called Software Studies Initiative 2007-2016), which pioneered use of data science and data visualization for the analysis of massive collections of images and video (cultural analytics). The lab was commissioned to create visualizations of cultural datasets for Google, New York Public Library, and New York's Museum of Modern Art (MoMA).
He is the author and editor of 15 books including The Language of New Media that has been translated into fourteen languages. Manovich's latest academic book Cultural Analytics was published in 2020 by the MIT Press.

Reviews

[Romano · Rating 5 out of 5]

Una de las principales virtudes de Lev Manovich como teórico de arte y diseño es su capacidad de poder establecer una posición intermedia entre la tecnofilia y la tecnofobia, lo cual le permite abordar a los fenómenos alrededor del arte digital con una mirada que no se deja impresionar por la falsa novedad de muchas manifestaciones tecnológicas.

Uno de los puntos más importantes abordados por Manovich son los problemas provocados por la proliferación de herramientas digitales las cuales han acarreado una disminución en la variedad estética de las obras de arte digital, es decir, muchas obras de arte digital son sumamente parecidas a sus contemporáneas y la facilidad de acceso a las herramientas provoca que las obras de arte digital en muchos casos sean indistinguibles entre sí.

En su texto Manovich comienza explorando el concepto de AI en sí mismo, partiendo de la concepción teórica, pasando por la ideal y llegando a aquello que concretamente podríamos llamar inteligencia artificial, y argumentando que estéticamente el arte generado con algoritmos automatizados es una manifestación del artista y no necesariamente de la maquina, por lo tanto estamos sumamente alejados de la existencia de un arte generado por inteligencias artificiales -y poniendo en duda que existan aún inteligencias artificiales.

Lateralmente Manovich manifiesta su preocupación a como las redes sociales han generado vicios y taras en diversas investigaciones cualitativas y cuantitativas, especialmente contra todas las investigaciones que dicen que intentan encontrar "patrones de comportamiento cultural",
ya que no suelen señalar que es más grande el universo de eventos que omiten que los que estudian.

Considero que los textos de Manovich son indispensables para entender al arte digital desde una perspectiva de producción, teoría y crítica, ya que él retira todas las capas de superficialidad y falsa novedad, y aborda a los fenómenos desde una perspectiva del conocimiento de causa.

[Anatolii Belikov · Rating 3 out of 5]

Should’ve been an essay somewhere on Wired. A few interesting takes on AI, but as an introduction to computational vision of culture it’s weak. Aside of small sneak peak of authors own AI tool, it doesn’t provide any further information of how a reader could investigate this topic.

If you interested in the topic of Vision, culture and perception, I’d rather recommend:
Nicholas Mirzoeff - how to see the world.
Yet it less lean on actual tech as AI and comp Vision, it’s provide a deeper theoretical base on this topic.

[frannina · Rating 1 out of 5]

nessuna delle parole presenti in questo saggio si trova nella bibbia

[Janice Bryson · Rating 3 out of 5]

Artificial Aesthetics looks at what happens to art and aesthetics when AI can analyze style, generate images, and predict taste. It asks whether creativity is truly original or largely recombinatory, whether style is reducible to pattern, and what authorship means in generative systems.

The topic is undeniably important. However, much of the argument felt conceptually familiar. The idea that style has structure, that creativity involves recombination, or that taste can be statistically analyzed predates AI. What the book shows well is how AI makes these dynamics operational at scale — but the underlying theoretical claims didn’t feel especially surprising.

It reads more as a careful mapping of the terrain than as a bold intervention. Useful and clarifying, though not particularly revelatory.

[Ezra · Rating 4 out of 5]

Nice read

[Δκнғ · Rating 2 out of 5]

Nothingburger with a side of 'whatever, man'

[Carlota Portugal · Rating 3 out of 5]

““AI effect.” It means that “when we know how a machine does something ‘intelligent,’ it ceases to be regarded as intelligent” (Promise of AI Not So Bright, 2006).”
(Manovich, 2019, p. 8)