Dave Murray-Rust
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View article: Towards Meaningful Transparency in Civic AI Systems
Towards Meaningful Transparency in Civic AI Systems Open
Artificial intelligence has become a part of the provision of governmental services, from making decisions about benefits to issuing fines for parking violations. However, AI systems rarely live up to the promise of neutral optimisation, c…
View article: The Unbearable Lightness of Prompting: A Critical Reflection on the Environmental Impact of genAI use in Design Education
The Unbearable Lightness of Prompting: A Critical Reflection on the Environmental Impact of genAI use in Design Education Open
Design educators are finding ways to support students in skillfully using GenAI tools in their practices while encouraging the critical scrutiny of the ethical and social issues around these technologies. However, the issue of environmenta…
View article: Prototyping with Uncertainties: Data, Algorithms, and Research through Design
Prototyping with Uncertainties: Data, Algorithms, and Research through Design Open
Seen both as a resource and an obstacle to clarity, uncertainty is a concept that permeates many areas of design. As the concept gains prominence in Human-Computer Interaction (HCI), this special issue specifically explores the interplay b…
View article: Unpacking Human-AI interactions: From Interaction Primitives to a Design Space
Unpacking Human-AI interactions: From Interaction Primitives to a Design Space Open
This article aims to develop a semi-formal representation for Human-AI (HAI) interactions, by building a set of interaction primitives which can specify the information exchanges between users and AI systems during their interaction. We sh…
View article: Lichtsuchende
Lichtsuchende Open
Lichtsuchende is an interactive installation that investigates relations between humans and robots. It consists of a group of robotic sunflowers that use light as a form of communication. It was created by Murray-Rust in collaboration with…
View article: (Un)making AI Magic: A Design Taxonomy
(Un)making AI Magic: A Design Taxonomy Open
This paper examines the role that enchantment plays in the design of AI\nthings by constructing a taxonomy of design approaches that increase or\ndecrease the perception of magic and enchantment. We start from the design\ndiscourse surroun…
View article: A Token Gesture: Non-Transferable NFTs, Digital Possessions and Ownership Design
A Token Gesture: Non-Transferable NFTs, Digital Possessions and Ownership Design Open
This paper presents the design, deployment and qualitative study of a large-scale, public, generative art exhibition, through which passers-by could create artworks, and mint a non-fungible-token (NFT). Following the month-long exhibition,…
View article: Decentralised creative economies and transactional creative communities
Decentralised creative economies and transactional creative communities Open
While the past decade has seen cuts to public funding to the arts, it has also seen the development of online technologies which have the potential to reach increasingly diverse and global audiences. As a result, individuals and organisati…
View article: On creative practice and generative AI
On creative practice and generative AI Open
In recent years, advances in artificial intelligence (AI) and machine learning have given rise to powerful new tools and methods for creative practitioners. 2022–2023 in particular saw an explosion in generative AI tools, models and use ca…
View article: Spatial Robotic Experiences as a Ground for Future HRI Speculations
Spatial Robotic Experiences as a Ground for Future HRI Speculations Open
This work illustrates how artistic robotic systems can provide a reservoir of unfamiliarity and a basis for speculation, to open the field toward new ways of thinking about HRI. We reflect on a collaborative project between design students…
View article: Design guidelines towards prototyping tools for sonic sketching in UX design
Design guidelines towards prototyping tools for sonic sketching in UX design Open
When done right, sound design can greatly enhance both physical and digital products.The sounds used to underscore interactions with products are typically short, with an emphasis on timbre and shape, focusing on character rather than musi…
View article: Unpacking Human-AI interactions: From interaction primitives to a design space
Unpacking Human-AI interactions: From interaction primitives to a design space Open
This paper aims to develop a semi-formal design space for Human-AI interactions, by building a set of interaction primitives which specify the communication between users and AI systems during their interaction. We show how these primitive…
View article: Grasping AI: experiential exercises for designers
Grasping AI: experiential exercises for designers Open
Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into the functioning of physical and digital products, creating unprecedented opportunities for interaction and functionality. However, there is a challenge…
View article: Grasping AI: experiential exercises for designers
Grasping AI: experiential exercises for designers Open
Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into the functioning of physical and digital products, creating unprecedented opportunities for interaction and functionality. However, there is a challenge…
View article: Agency and legibility for artists through Experiential AI
Agency and legibility for artists through Experiential AI Open
Experiential AI is an emerging research field that addresses the challenge of making AI tangible and explicit, both to fuel cultural experiences for audiences, and to make AI systems more accessible to human understanding. The central them…
View article: Experiential AI: A transdisciplinary framework for legibility and agency in AI
Experiential AI: A transdisciplinary framework for legibility and agency in AI Open
Experiential AI is presented as a research agenda in which scientists and artists come together to investigate the entanglements between humans and machines, and an approach to human-machine learning and development where knowledge is crea…
View article: From VizBlocks to the Data-Driven Actor: Reimagining an open-ended data physicalisation prototype with a creative business
From VizBlocks to the Data-Driven Actor: Reimagining an open-ended data physicalisation prototype with a creative business Open
In this case study, we document the process of engaging in an initially unplanned and informal knowledge exchange activity between academic researchers and a local performing arts company. This knowledge exchange activity quickly became a …
View article: Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability
Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability Open
Recent research claims that information cues and system attributes of algorithmic decision-making processes affect decision subjects' fairness perceptions. However, little is still known about how these factors interact. This paper present…
View article: Respect as a Lens for the Design of AI Systems
Respect as a Lens for the Design of AI Systems Open
Critical examinations of AI systems often apply principles such as fairness, justice, accountability, and safety, which is reflected in AI regulations such as the EU AI Act. Are such principles sufficient to promote the design of systems t…
View article: Using human-in-the-loop and explainable AI to envisage new future work practices
Using human-in-the-loop and explainable AI to envisage new future work practices Open
In this paper, we discuss the trends and challenges of the integration of Artificial Intelligence (AI) methods in the workplace. An important aspect towards creating positive AI futures in the workplace is the design of fair, reliable and …
View article: Towards a multi-stakeholder value-based assessment framework for algorithmic systems
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Open
Presentation of "Towards a multi-stakeholder value-based assessment framework for algorithmic systems" paper. FAccT'22: 2022 ACM Conference on Fairness, Accountability, and Transparency. In an effort to regulate Machine Learning-driven (M…
View article: Metaphors for designers working with AI
Metaphors for designers working with AI Open
In this paper, we explore the use of metaphors for people working with artificial intelligence, in particular those that support designers in thinking about the creation of AI systems. Metaphors both illuminate and hide, simplifying and co…
View article: Towards a multi-stakeholder value-based assessment framework for\n algorithmic systems
Towards a multi-stakeholder value-based assessment framework for\n algorithmic systems Open
In an effort to regulate Machine Learning-driven (ML) systems, current\nauditing processes mostly focus on detecting harmful algorithmic biases. While\nthese strategies have proven to be impactful, some values outlined in documents\ndealin…
View article: Exploring the acceptability of digital contact tracing for UK students
Exploring the acceptability of digital contact tracing for UK students Open
Contact tracing systems control the spread of disease by discovering the set of people an infectious individual has come into contact with. Students are often mobile and sociable and therefore can contribute to the spread of disease. Contr…