中文
相关论文

相关论文: Can There be Art Without an Artist?

200 篇论文

Generative artificial intelligence (AI) systems are trained on large data corpora to generate new pieces of text, images, videos, and other media. There is growing concern that such systems may infringe on the copyright interests of…

机器学习 · 计算机科学 2024-09-10 Jiachen T. Wang , Zhun Deng , Hiroaki Chiba-Okabe , Boaz Barak , Weijie J. Su

Generative Artificial Intelligence (AI) tools are increasingly deployed across social media platforms, yet their implications for user behavior and experience remain understudied, particularly regarding two critical dimensions: (1) how AI…

人机交互 · 计算机科学 2025-06-18 Anders Giovanni Møller , Daniel M. Romero , David Jurgens , Luca Maria Aiello

Generative AI enables automated, effective manipulation at scale. Despite the growing general ethical discussion around generative AI, the specific manipulation risks remain inadequately investigated. This article outlines essential…

计算机与社会 · 计算机科学 2025-03-10 Michael Klenk

Queer people are often discussed as targets of bias, harm, or discrimination in research on generative AI. However, the specific ways that queer people engage with generative AI, and thus possible uses that support queer people, have yet to…

人机交互 · 计算机科学 2025-05-06 Jordan Taylor , Joel Mire , Franchesca Spektor , Alicia DeVrio , Maarten Sap , Haiyi Zhu , Sarah Fox

While recent research suggests Large Language Models match human creative performance in divergent thinking tasks, visual creativity remains underexplored. This study compared image generation in human participants (Visual Artists and Non…

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

In recent months, the social impact of Artificial Intelligence (AI) has gained considerable public interest, driven by the emergence of Generative AI models, ChatGPT in particular. The rapid development of these models has sparked heated…

Generative Adversarial Networks (GANs) have shown great success in generating high quality images and are thus used as one of the main approaches to generate art images. However, usually the image generation process involves sampling from…

神经与进化计算 · 计算机科学 2024-03-29 Ole Hall , Anil Yaman

Recent generative AI advances present new possibilities for supporting visual art creation, but how such promise might assist novice artists during early-stage processes requires investigation. How novices adopt or resist these tools can…

人机交互 · 计算机科学 2025-10-01 Cindy Peng , Alice Qian , Linghao Jin , Jieneng Chen , Evans Xu Han , Paul Pu Liang , Hong Shen , Haiyi Zhu , Jane Hsieh

The creative industry is both concerned and enthusiastic about how generative AI will reshape creativity. How might these tools interact with the workflow values of creative artists? In this paper, we adopt a value-sensitive design…

人机交互 · 计算机科学 2024-05-07 Ian P. Swift , Debaleena Chattopadhyay

Machine-generated artworks are now part of the contemporary art scene: they are attracting significant investments and they are presented in exhibitions together with those created by human artists. These artworks are mainly based on…

计算机与社会 · 计算机科学 2025-02-14 Giorgio Franceschelli , Mirco Musolesi

The high efficiency and quality of artwork generated by Artificial Intelligence (AI) has created new concerns and challenges for human artists. In particular, recent improvements in generative AI have made it difficult for people to…

计算机视觉与模式识别 · 计算机科学 2025-04-10 Meien Li , Mark Stamp

Awareness about the immense impact that artificial intelligence (AI) might have or already has made on the social, economic, political, and cultural realities of our world has become part of the mainstream public discourse. Attributes such…

计算机与社会 · 计算机科学 2024-06-19 Gordan Krekovic , Antonio Poscic , Dejan Grba

Generative AI is a class of machine learning technology that learns to generate new data from training data. While deep fakes and media-and art-related generative AI breakthroughs have recently caught people's attention and imagination, the…

Generative AI models have recently achieved astonishing results in quality and are consequently employed in a fast-growing number of applications. However, since they are highly data-driven, relying on billion-sized datasets randomly…

Generative artificial intelligence models show an amazing performance creating unique content automatically just by being given a prompt by the user, which is revolutionizing several fields such as marketing and design. Not only are there…

计算机与社会 · 计算机科学 2024-07-03 Adriana Fernández de Caleya Vázquez , Eduardo C. Garrido-Merchán

Generative artificial intelligence (GenAI) is increasingly used to support a wide range of human tasks, yet empirical evidence on its effect on creativity remains scattered. Can GenAI generate ideas that are creative? To what extent can it…

人机交互 · 计算机科学 2025-05-26 Niklas Holzner , Sebastian Maier , Stefan Feuerriegel

With the advancement of neural generative capabilities, the art community has increasingly embraced GenAI (Generative Artificial Intelligence), particularly large text-to-image models, for producing aesthetically compelling results.…

人机交互 · 计算机科学 2025-08-26 Aven-Le Zhou , Wei Wu , Yu-Ao Wang , Kang Zhang

In this paper, we map out the landscape of options available to visual artists for creating personal artworks, including crafting, adapting and navigating deep generative models. Following that, we argue for revisiting model crafting,…

人机交互 · 计算机科学 2024-04-30 Ahmed M. Abuzuraiq , Philippe Pasquier

Generative Artificial Intelligence (Generative AI) is a collection of AI technologies that can generate new information such as texts and images. With its strong capabilities, Generative AI has been actively studied in creative design…

人机交互 · 计算机科学 2025-02-04 Liuging Chen , Yaxuan Song , Jia Guo , Lingyun Sun , Peter Childs , Yuan Yin