Democratization and generative AI image creation: aesthetics, citizenship, and practices DOI Creative Commons
Maja Bak Herrie, nicolas maleve, Lotte Philipsen

и другие.

AI & Society, Год журнала: 2024, Номер unknown

Опубликована: Окт. 11, 2024

Abstract The article critically analyzes how contemporary image practices involving generative artificial intelligence are entangled with processes of democratization. We demonstrate and discuss images raise questions democratization citizenship in terms access, skills, validation, truths, diversity. First, the establishes a theoretical framework, which includes theory on aesthetics lays foundations for analytical concepts ‘formative’ ‘generative’ visual citizenship. Next, we argue use explorative collaborative methods to investigate practice, before analyzing central part our investigation, takes form four workshops conducted 2023 external partners different domains (the art scene, therapy, education, news media). After insights from these workshops, significantly nuances is at work manners depending concrete using intelligence. Finally, conclude that an aesthetic perspective offers valuable into foundational aspects belonging communities.

Язык: Английский

Research on the Innovative Application of Song Dynasty Boundary Painting in Interior Soft Decoration Design Based on AIGC DOI Creative Commons

Jingting Meng,

Xingjia Fang,

Jian Min Xu

и другие.

Buildings, Год журнала: 2025, Номер 15(7), С. 1067 - 1067

Опубликована: Март 26, 2025

An analysis of the practice path and methodology system Artificial Intelligence Generated Content (AIGC) technology has been conducted in field inheritance innovation boundary paintings from Song Dynasty. This paper aims to provide valuable reference guidance for application AI Dynasty painting (Song painting) interior decoration design, so as promote effective integration traditional aesthetics modern design concepts. Firstly, natural processing language model is used generate index layer suitable indoor soft style paintings, Analytic Hierarchy Process weight classification select cue words generated image. Secondly, Midjourney images keywords. Finally, Stable Diffusion control transfer elements design. AIGC can effectively with elements, play a unique role pattern It provides an innovative art wealth possibilities painting. significant potential painting, which bring new ideas methods contribute wide development

Язык: Английский

Процитировано

0

The Multimodal Voicings of GenAI DOI

Lauri Väkevä

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Generative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community DOI
H. Zhang, Siyu Zha, Jie Cai

и другие.

Опубликована: Апрель 23, 2025

Язык: Английский

Процитировано

0

From aura to semi-aura: reframing authenticity in AI-generated art—a systematic literature review DOI Creative Commons

David Salas Espasa,

Macario Camacho

AI & Society, Год журнала: 2025, Номер unknown

Опубликована: Июнь 1, 2025

Язык: Английский

Процитировано

0

Gender bias in visual generative artificial intelligence systems and the socialization of AI DOI Creative Commons
Larry G. Locke,

Grace Hodgdon

AI & Society, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 25, 2024

Abstract Substantial research over the last ten years has indicated that many generative artificial intelligence systems (“GAI”) have potential to produce biased results, particularly with respect gender. This for bias grown progressively more important in recent as GAI become increasingly integrated multiple critical sectors, such healthcare, consumer lending, and employment. While much of study gender popular is focused on text-based OpenAI’s ChatGPT Google’s Gemini (formerly Bard), this article describes results a confirmatory experiment visual systems. The authors argue potentially troubling than textual because superior memorability images capacity emotional communication represent. They go offer four approaches based roles could play modern society. concludes discussion how dominant societal values influence choice between those some suggestions further research.

Язык: Английский

Процитировано

1

Democratization and generative AI image creation: aesthetics, citizenship, and practices DOI Creative Commons
Maja Bak Herrie, nicolas maleve, Lotte Philipsen

и другие.

AI & Society, Год журнала: 2024, Номер unknown

Опубликована: Окт. 11, 2024

Abstract The article critically analyzes how contemporary image practices involving generative artificial intelligence are entangled with processes of democratization. We demonstrate and discuss images raise questions democratization citizenship in terms access, skills, validation, truths, diversity. First, the establishes a theoretical framework, which includes theory on aesthetics lays foundations for analytical concepts ‘formative’ ‘generative’ visual citizenship. Next, we argue use explorative collaborative methods to investigate practice, before analyzing central part our investigation, takes form four workshops conducted 2023 external partners different domains (the art scene, therapy, education, news media). After insights from these workshops, significantly nuances is at work manners depending concrete using intelligence. Finally, conclude that an aesthetic perspective offers valuable into foundational aspects belonging communities.

Язык: Английский

Процитировано

0