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Generative AIs produce creative outputs in the style of human expression. We argue that encounters with the outputs of modern generative AI models are mediated by the same kinds of aesthetic judgments that organize our interactions with…

计算机与社会 · 计算机科学 2023-09-25 Jessica Hullman , Ari Holtzman , Andrew Gelman

Generative AI systems are increasingly capable of expressing emotions via text and imagery. Effective emotional expression will likely play a major role in the efficacy of AI systems -- particularly those designed to support human mental…

Discovering the creative potentials of a random signal to various artistic expressions in aesthetic and conceptual richness is a ground for the recent success of generative machine learning as a way of art creation. To understand the new…

计算机视觉与模式识别 · 计算机科学 2024-02-06 Faizan Farooq Khan , Diana Kim , Divyansh Jha , Youssef Mohamed , Hanna H Chang , Ahmed Elgammal , Luba Elliott , Mohamed Elhoseiny

There is a growing recognition that artists use valuable ways to understand and work with cognitive and perceptual mechanisms to convey desired experiences and narrative in their created artworks (DiPaola et al., 2010; Zeki, 2001). This…

人工智能 · 计算机科学 2020-09-14 Ozge Nilay Yalcin , Nouf Abukhodair , Steve DiPaola

The concept of art has transposed meaning and medium across time, with its context being a deciding factor for its evolution. However, human beings' innermost functionality remains the same, and art, to this day, serves as an expression of…

计算机与社会 · 计算机科学 2021-11-09 Alayt Issak

This paper examines potential biases and inconsistencies in emotional evocation of images produced by generative artificial intelligence (AI) models and their potential bias toward negative emotions. In particular, we assess this bias by…

计算机与社会 · 计算机科学 2024-12-17 Maneet Mehta , Cody Buntain

Image-generative AI provides new opportunities to transform personal data into alternative visual forms. In this paper, we illustrate the potential of AI-generated images in facilitating meaningful engagement with personal data. In a…

人机交互 · 计算机科学 2025-02-27 Soobin Park , Hankyung Kim , Youn-kyung Lim

While Artificial Intelligence (AI) technologies are being progressively developed, artists and researchers are investigating their role in artistic practices. In this work, we present an AI-based Brain-Computer Interface (BCI) in which…

This study explores the concept of creativity and artificial intelligence (AI) and their recent integration. While AI has traditionally been perceived as incapable of generating new ideas or creating art, the development of more…

人工智能 · 计算机科学 2023-06-06 Fabio Crimaldi , Manuele Leonelli

Technologies related to artificial intelligence (AI) have a strong impact on the changes of research and creative practices in visual arts. The growing number of research initiatives and creative applications that emerge in the intersection…

计算机视觉与模式识别 · 计算机科学 2021-02-19 Eva Cetinic , James She

This paper explores the integration of generative AI into the field of art therapy. Leveraging proven text-to-image models, we introduce a novel technical design to complement art therapy. The resulting AI-based tools shall enable patients…

人工智能 · 计算机科学 2024-12-05 Yannis Valentin Schmutz , Tetiana Kravchenko , Souhir Ben Souissi , Mascha Kurpicz-Briki

Generative AI tools are used to create art-like outputs and sometimes aid in the creative process. These tools have potential benefits for artists, but they also have the potential to harm the art workforce and infringe upon artistic and…

计算机与社会 · 计算机科学 2024-10-02 Juniper Lovato , Julia Zimmerman , Isabelle Smith , Peter Dodds , Jennifer Karson

Images are capable of conveying emotions, but emotional experience is highly subjective. Advances in artificial intelligence have enabled the generation of images based on emotional descriptions. However, the level of agreement between the…

计算机视觉与模式识别 · 计算机科学 2024-10-14 Miguel Carrasco , Cesar Gonzalez-Martin , Sonia Navajas-Torrente , Raul Dastres

Breakthroughs in generative AI (GenAI) have fueled debates concerning the artistic and legal status of AI-generated creations. We investigate laypeople's perceptions ($N$$=$$432$) of AI-generated art through the lens of copyright law. We…

计算机与社会 · 计算机科学 2025-02-12 Gabriel Lima , Nina Grgić-Hlača , Elissa Redmiles

Artificial Intelligence is present in the generation and distribution of culture. How do artists exploit neural networks? What impact do these algorithms have on artistic practice? Through a practice-based research methodology, this paper…

人机交互 · 计算机科学 2023-07-18 Varvara Guljajeva , Mar Canet Sola , Isaac Joseph Clarke

Recent advancements in artificial intelligence (AI) have broadened the applicability of AI-generated images across various sectors, including the creative industry and design. However, their utilization in educational contexts, particularly…

计算机与社会 · 计算机科学 2024-11-26 Aung Pyae

Generative AI models have shown impressive ability to produce images with text prompts, which could benefit creativity in visual art creation and self-expression. However, it is unclear how precisely the generated images express contexts…

人机交互 · 计算机科学 2023-03-21 Yunlong Wang , Shuyuan Shen , Brian Y. Lim

With rapid progress in artificial intelligence (AI), popularity of generative art has grown substantially. From creating paintings to generating novel art styles, AI based generative art has showcased a variety of applications. However,…

人工智能 · 计算机科学 2021-02-18 Ramya Srinivasan , Kanji Uchino

Art created using generated Artificial Intelligence has taken the world by storm and generated excitement for many digital creators and technologists. However, the reception and reaction from artists have been mixed. Concerns about…

人机交互 · 计算机科学 2023-11-27 Safinah Ali , Cynthia Breazeal

Creativity is the ability to produce novel, useful, and surprising ideas, and has been widely studied as a crucial aspect of human cognition. Machine creativity on the other hand has been a long-standing challenge. With the rise of advanced…

人工智能 · 计算机科学 2025-07-01 Mete Ismayilzada , Debjit Paul , Antoine Bosselut , Lonneke van der Plas
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