27 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Goldsmiths University of LondonGB5 papers
- Queen Mary University of LondonGB2 papers
- Australian Regenerative Medicine InstituteAU1 paper
- Beijing Normal UniversityCN1 paper
- City University of Hong KongHK1 paper
- Concordia UniversityCA1 paper
- Hunan UniversityCN1 paper
- Institute of SeismologyKZ1 paper
- Kingston University LondonGB1 paper
- Monash UniversityAU1 paper
- New York UniversityUS1 paper
- Queen's University BelfastGB1 paper
14 papers
Make it SewSimple: Navigating UK Curriculum and Classroom Practice in Secondary Computing Education with E-textiles
Yifan Feng, Hanlin Zhang, Yishan Du +3
This paper explores the potential of integrating e-textiles as part of the approach to delivering computing in UK secondary schools. As one of the few UK-based exploratory studies…
World Simulator: Queer Erotica and the Absurdity of AI Video Models That Promise the World
Adam Cole, Mick Grierson
Increasingly, AI video models are marketed as "world simulators," suggesting their ability to model infinite realities. Despite such claims, these models systematically exclude sig…
AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probe
Adam Cole, Mick Grierson
We present AttentionBender, a tool that manipulates cross-attention in Video Diffusion Transformers to help artists probe the internal mechanics of black-box video generation. Whil…
Telling stories, making Hanzi: AI-assisted co-creation with elderly migrants in urban China
Yunfei Chen, Wen Zhan, Peiyue Lin +2
This paper explores how older migrants in urban China can record stories that everyday language and design often miss. We ran two co-creation workshops with 10 elders. Activities c…
Cracking Aegis: An Adversarial LLM-based Game for Raising Awareness of Vulnerabilities in Privacy Protection
Jiaying Fu, Yiyang Lu, Zehua Yang +2
Traditional methods for raising awareness of privacy protection often fail to engage users or provide hands-on insights into how privacy vulnerabilities are exploited. To address t…
Guiding Generative Storytelling with Knowledge Graphs
Zhijun Pan, Antonios Andronis, Eva Hayek +6
Large language models (LLMs) have shown great potential in story generation, but challenges remain in maintaining long-form coherence and effective, user-friendly control. Retrieva…
XAIxArts Manifesto: Explainable AI for the Arts
Nick Bryan-Kinns, Shuoyang Jasper Zheng, Francisco Castro +6
Explainable AI (XAI) is concerned with how to make AI models more understandable to people. To date these explanations have predominantly been technocentric - mechanistic or produc…
Coral Model Generation from Single Images for Virtual Reality Applications
Jie Fu, Shun Fu, Mick Grierson
With the rapid development of VR technology, the demand for high-quality 3D models is increasing. Traditional methods struggle with efficiency and quality in large-scale customizat…
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities
Sebastian Berns, Terence Broad, Christian Guckelsberger +1
We present a framework for automating generative deep learning with a specific focus on artistic applications. The framework provides opportunities to hand over creative responsibi…
Guru, Partner, or Pencil Sharpener? Understanding Designers' Attitudes Towards Intelligent Creativity Support Tools
Angus Main, Mick Grierson
Creativity Support Tools (CST) aim to enhance human creativity, but the deeply personal and subjective nature of creativity makes the design of universal support tools challenging.…
Learning to See: You Are What You See
Memo Akten, Rebecca Fiebrink, Mick Grierson
The authors present a visual instrument developed as part of the creation of the artwork Learning to See. The artwork explores bias in artificial neural networks and provides mecha…
Amplifying The Uncanny
Terence Broad, Frederic Fol Leymarie, Mick Grierson
Deep neural networks have become remarkably good at producing realistic deepfakes, images of people that (to the untrained eye) are indistinguishable from real images. Deepfakes ar…
Transforming the output of GANs by fine-tuning them with features from different datasets
Terence Broad, Mick Grierson
In this work we present a method for fine-tuning pre-trained GANs with features from different datasets, resulting in the transformation of the output distribution into a new distr…
Searching for an (un)stable equilibrium: experiments in training generative models without data
Terence Broad, Mick Grierson
This paper details a developing artistic practice around an ongoing series of works called (un)stable equilibrium. These works are the product of using modern machine toolkits to t…