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Generative AI is quickly becoming an integral part of people's everyday workflows. Early evidence has shown that while generative AI can increase individual-level productivity, it does so at the cost of collective diversity, potentially…

人机交互 · 计算机科学 2026-04-07 Nathanael Jo , Manish Raghavan

We are witnessing a novel era of creativity where anyone can create digital content via prompt-based learning (known as prompt engineering). This paper investigates prompt engineering as a novel creative skill for creating AI art with…

人机交互 · 计算机科学 2024-07-08 Jonas Oppenlaender , Rhema Linder , Johanna Silvennoinen

This paper argues that generative art driven by conformance to a visual and/or semantic corpus lacks the necessary criteria to be considered creative. Among several issues identified in the literature, we focus on the fact that generative…

人工智能 · 计算机科学 2022-05-03 Marvin Zammit , Antonios Liapis , Georgios N. Yannakakis

Generative text-to-image models are disrupting the lives of creative professionals. Specifically, illustrators are threatened by models that claim to extract and reproduce their style. Yet, research on style transfer has rarely focused on…

人机交互 · 计算机科学 2025-01-31 Julien Porquet , Sitong Wang , Lydia B. Chilton

Contemporary AI art's diverse and widely recognized repertoire features numerous artworks that share conceptual, thematic, narrative, procedural, or presentational properties with other artworks across disciplinary and historical spectrums.…

计算机与社会 · 计算机科学 2026-02-24 Dejan Grba

Although generative artificial intelligence (AI) is not new, recent technological breakthroughs have transformed its capabilities across many domains. These changes necessitate new attention from educators and specialized training within…

人机交互 · 计算机科学 2025-10-27 Maria J. Molina , Amy McGovern , Jhayron S. Perez-Carrasquilla , Xiaowen Li , Robin L. Tanamachi

Generative AI is rapidly reshaping creative work, raising critical questions about its beneficiaries and societal implications. This study challenges prevailing assumptions by exploring how generative AI interacts with diverse forms of…

人机交互 · 计算机科学 2024-12-06 Meiling Huang , Ming Jin , Ning Li

AI generative models leave implicit traces in their generated images, which are commonly referred to as model fingerprints and are exploited for source attribution. Prior methods rely on model-specific cues or synthesis artifacts, yielding…

计算机视觉与模式识别 · 计算机科学 2026-04-15 Hui Xu , Chi Liu , Congcong Zhu , Minghao Wang , Youyang Qu , Longxiang Gao

The common view that our creativity is what makes us uniquely human suggests that incorporating research on human creativity into generative deep learning techniques might be a fruitful avenue for making their outputs more compelling and…

人工智能 · 计算机科学 2019-07-09 Steve DiPaola , Liane Gabora , Graeme McCaig

Creativity in artificial intelligence is most often addressed through evaluative frameworks that aim to measure novelty, diversity, or usefulness in generated outputs. While such approaches have provided valuable insights into the behavior…

人工智能 · 计算机科学 2026-01-14 Corina Chutaux

With the advancement of deep learning, artificial intelligence (AI) has made many breakthroughs in recent years and achieved superhuman performance in various tasks such as object detection, reading comprehension, and video games.…

计算机视觉与模式识别 · 计算机科学 2020-12-03 Jinggang Zhuo , Ling Fan , Harry Jiannan Wang

"Does generative AI infringe copyright?" is an urgent question. It is also a difficult question, for two reasons. First, "generative AI" is not just one product from one company. It is a catch-all name for a massive ecosystem of loosely…

计算机与社会 · 计算机科学 2024-03-05 Katherine Lee , A. Feder Cooper , James Grimmelmann

AI is becoming increasingly popular in artistic practices, but the tools for informing practitioners about the environmental impact (and other sustainability implications) of AI are adapted for other contexts than creative practices --…

人机交互 · 计算机科学 2023-09-28 Petra Jääskeläinen

This paper explores using generative AI and aesthetics to promote cultural creativity in rural China amidst COVID-19's impact. Through literature reviews, case studies, surveys, and text analysis, it examines art and technology applications…

计算机与社会 · 计算机科学 2023-09-06 Mengyao Guo , Xiaolin Zhang , Yuan Zhuang , Jing Chen , Pengfei Wang , Ze Gao

This paper proposes dialogue as a method for evaluating generative AI tools for culturally-situated creative practice, that recognizes the socially situated nature of art. Drawing on sociologist Howard Becker's concept of Art Worlds, this…

计算机与社会 · 计算机科学 2024-12-19 Rida Qadri , Piotr Mirowski , Aroussiak Gabriellan , Farbod Mehr , Huma Gupta , Pamela Karimi , Remi Denton

Generative AI has increasingly been used for artistic creation, but little work has explored how it shapes the experiential meaning of practice. We consider how generative AI might transform the embodied and tangible process of instant…

人机交互 · 计算机科学 2026-05-05 Michael Yin , Angela Chiang , Robert Xiao

Generative AI (GenAI) is transforming creative fields shaping our culture and our heritage. We focus on widespread interactions between clients and (creative) specialists highlighting a change in interaction patterns leading to a shift from…

人工智能 · 计算机科学 2025-12-05 Johannes Schneider , Kilic Sinem , Daniel Stockhammer

Broadly accessible generative AI models like Dall-E have made it possible for anyone to create compelling visual art. In online communities, the introduction of AI-generated content (AIGC) may impact social dynamics, for example causing…

人工智能 · 计算机科学 2025-09-26 Hana Matatov , Marianne Aubin Le Quéré , Ofra Amir , Mor Naaman

Whilst there are perhaps only a few scientific methods, there seem to be almost as many artistic methods as there are artists. Artistic processes appear to inhabit the highest order of open-endedness. To begin to understand some of the…

The evolution of artificial intelligence (AI) has catalyzed a transformation in digital content generation, with profound implications for cyber influence operations. This report delves into the potential and limitations of generative deep…

计算机与社会 · 计算机科学 2024-03-20 Melanie Mathys , Marco Willi , Michael Graber , Raphael Meier