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The rapid advancement of Generative AI (GenAI) relies heavily on the digital commons, a vast collection of free and open online content that is created, shared, and maintained by communities. However, this relationship is becoming…

This paper introduces the conceptual metaphor of 'digital plastic' as a framework for understanding the implications of Generative Artificial Intelligence (GenAI) content through a multiliteracies lens, drawing parallels with the properties…

Computers and Society · Computer Science 2025-02-13 Jasper Roe , Leon Furze , Mike Perkins

The integration of Generative Artificial Intelligence (GenAI) into university-level academic writing presents both opportunities and challenges, particularly in relation to cognitive dissonance (CD). This work explores how GenAI serves as…

Computers and Society · Computer Science 2025-02-11 Carl Errol Seran , Myles Joshua Toledo Tan , Hezerul Abdul Karim , Nouar AlDahoul

Generative Artificial Intelligence (GenAI) is revolutionizing education and workforce development, profoundly shaping how students learn, engage, and prepare for their future. Outpacing the development of uniform policies and structures,…

Human-Computer Interaction · Computer Science 2026-03-04 Micaela Siraj , Jon Duke , Thomas Plötz

Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic content across different formats like images, videos, and text. In Generative AI, human involvement is essential, thus HCI literature has…

Human-Computer Interaction · Computer Science 2024-01-17 Jingyu Shi , Rahul Jain , Hyungjun Doh , Ryo Suzuki , Karthik Ramani

Artificial Intelligence (AI) tools have become incredibly powerful in generating synthetic images. Of particular concern are generated images that resemble photographs as they aspire to represent real world events. Synthetic photographs may…

Computers and Society · Computer Science 2024-08-14 Melanie Mathys , Marco Willi , Raphael Meier

Generative AI (GenAI) systems offer opportunities to increase user productivity in many tasks, such as programming and writing. However, while they boost productivity in some studies, many others show that users are working ineffectively…

Human-Computer Interaction · Computer Science 2024-02-20 Auste Simkute , Lev Tankelevitch , Viktor Kewenig , Ava Elizabeth Scott , Abigail Sellen , Sean Rintel

Generative AI (GenAI) is transforming the creativity process. However, as presented in this paper, GenAI encounters "narrow creativity" barriers. We observe that both humans and GenAI focus on limited subsets of the design space. We…

Human-Computer Interaction · Computer Science 2025-02-12 Runlin Duan , Shao-Kang Hsia , Yuzhao Chen , Yichen Hu , Ming Yin , Karthik Ramani

Can we define what it means to be "creative," and if so, can our definition drive artificial intelligence (AI) systems to feats of creativity indistinguishable from human efforts? This mixed question is considered from technological and…

Computers and Society · Computer Science 2022-08-12 Steven J. Frank

Visitors to cultural heritage sites often encounter official information, while local people's unofficial stories remain invisible. To explore expression of local narratives, we conducted a workshop with 20 participants utilizing Generative…

Human-Computer Interaction · Computer Science 2025-01-03 Zhiting He , Jiayi Su , Li Chen , Tianqi Wang , Ray LC

Generative AI models like GPT-4o and DALL-E 3 are reshaping digital content creation, offering industries tools to generate diverse and sophisticated text and images with remarkable creativity and efficiency. This paper examines both the…

Artificial Intelligence · Computer Science 2024-12-24 Atahan Karagoz

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…

Human-Computer Interaction · Computer Science 2023-07-18 Varvara Guljajeva , Mar Canet Sola , Isaac Joseph Clarke

Applications of Generative AI (Gen AI) are expected to revolutionize a number of different areas, ranging from science & medicine to education. The potential for these seismic changes has triggered a lively debate about the potential risks…

AI art comprises a spectrum of creative endeavors that emerge from and respond to the development of artificial intelligence (AI), the expansion of AI-powered economies, and their influence on culture and society. Within this repertoire,…

Computers and Society · Computer Science 2026-02-23 Dejan Grba

This paper reviews the current state of the art in Artificial Intelligence (AI) technologies and applications in the context of the creative industries. A brief background of AI, and specifically Machine Learning (ML) algorithms, is…

Computer Vision and Pattern Recognition · Computer Science 2022-03-07 Nantheera Anantrasirichai , David Bull

The widespread use of ChatGPT and other emerging technology powered by generative artificial intelligence (GenAI) has drawn much attention to potential ethical issues, especially in high-stakes applications such as healthcare, but ethical…

Generative Adversarial Networks (GAN) have greatly influenced the development of computer vision and artificial intelligence in the past decade and also connected art and machine intelligence together. This book begins with a detailed…

Generative AI (GAI) tools have seen rapid adoption in educational settings, yet their role in fostering critical thinking remains underexplored. While previous studies have examined GAI as a tutor for specific lessons or as a tool for…

Computers and Society · Computer Science 2025-09-10 W. F. Lamberti , S. R. Lawrence , D. White , S. Kim , S. Abdullah

This paper investigates the presence and impact of questionable, AI-generated academic papers on widely used preprint repositories, with a focus on their role in citation manipulation. Motivated by suspicious patterns observed in…

Digital Libraries · Computer Science 2025-04-01 Haitham S. Al-Sinani , Chris J. Mitchell

The field of deep generative modeling has grown rapidly in the last few years. With the availability of massive amounts of training data coupled with advances in scalable unsupervised learning paradigms, recent large-scale generative models…

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