Helen Kennedy

dblp:27/7657 · DBLP profile ↗
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5ranked-venue papers
0as first author
4since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 5 · 4 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1
YearPublicationVenuePosition
2026 Explainable AI for the Arts 4 (XAIxArts4)
abstract
The fourth workshop on Explainable AI for the Arts (XAIxArts) continues to bring together and expand a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, eXplainable AI (XAI), and Digital Arts to explore the role of XAI for the Arts. XAI is a key concern of Responsible and Human-Centred AI, emphasising HCI techniques that make opaque AI models more understandable to people. XAIxArts offers a distinctive lens to examine explainability through creative and artistic domains. The previous workshops explored the landscape and the speculative futures of AI in creative processes. To respond to emerging challenges and contribute to creative and societal transformation more broadly, this workshop focuses on the operationalisation of XAI in the Arts. Specifically, we will: i) critically reflect on emerging practices that encourage diversity and inclusivity in XAI; ii) collectively ideate a library of missing projects to encourage future collaborations and speculations; iii) scope the development of a resource hub for open XAIxArts projects to archive tangible XAI interventions and facilitate future community building with the wider discourse on Human-Centred AI.
Shuoyang Jasper Zheng, Terence Broad, Elizabeth Wilson, Adam Cole, Ziqing Xu, Jia-Rey Chang, Gabriel Vigliensoni, Jeba Rezwana, Lanxi Xiao, Michael Paul Clemens, Makayla Lewis, Alan Chamberlain, Helen Kennedy, Corey Ford 0002, Nick Bryan-Kinns
Creativity & Cognition13
2025 Explainable AI for the Arts 3 (XAIxArts3)
abstract
The third workshop on Explainable AI for the Arts (XAIxArts) continues to bring together and expand a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, explainable AI (XAI), and Digital Arts to explore the role of XAI for the Arts.XAI is a key concern of Responsible and Human-Centred AI, emphasising the use of HCI techniques to explore how to make complicated and opaque AI models more understandable to people.The previous workshops moved from mapping the landscape of XAI for the Arts to co-developing an XAIxArts manifesto.To continue driving discourse on XAIxArts, the anticipated outcomes of this workshop are: i) fresh insights into the evolving challenges of AI bias, lack of transparency and barriers to inclusivity through discussion of current and emerging XAIxArts practices; ii) co-developed speculative futures which expand XAIxArts discourse beyond post-hoc rationalisations of AI decisions into the imaginative possibilities of AI as an interlocutor in the creative process; iii) plans for a co-developed proposal of an edited book on XAIxArts; and iv) community expansion and engagement in wider discourses on Responsible and Human-Centred AI.
Corey Ford 0002, Elizabeth Wilson, Shuoyang Zheng, Gabriel Vigliensoni, Jeba Rezwana, Lanxi Xiao, Michael Paul Clemens, Makayla Lewis, Drew Hemment, Alan Chamberlain, Helen Kennedy, Nick Bryan-Kinns
Creativity & Cognition11
2024 Explainable AI for the Arts 2 (XAIxArts2)
abstract
This second workshop on explainable AI for the Arts (XAIxArts) brings together a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, explainable AI (XAI), and Digital Arts to explore the role of XAI for the Arts. XAI is a core concern of Human-Centred AI and relies heavily on HCI techniques to explore how to make complex and difficult to understand AI models more understandable to people. Our first workshop explored the landscape of XAIxArts and identified emergent themes. To move the discourse on XAIxArts forward and to contribute to Human-Centred AI more broadly this workshop will: i) bring researchers together to expand the XAIxArts community; ii) collect and critically reflect on current and emerging XAIxArts practice; iii) co-develop a manifesto for XAIxArts; iv) co-develop a proposal for an edited book on XAIxArts; v) engage with the wider discourse on Human-Centred AI.
Nick Bryan-Kinns, Corey Ford 0002, Shuoyang Zheng, Helen Kennedy, Alan Chamberlain, Makayla Lewis, Drew Hemment, Lanxi Xiao, Gus G. Xia, Jeba Rezwana, Michael Paul Clemens, Gabriel Vigliensoni
Creativity & Cognition4
2023 Explainable AI for the Arts: XAIxArts
abstract
This first workshop on explainable AI for the Arts (XAIxArts) brings together a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, explainable AI (XAI), and Digital Arts to explore the role of XAI for the Arts. XAI is a core concern of Human-Centred AI and relies heavily on HCI techniques to explore how complex and difficult to understand AI models such as deep learning techniques can be made more understandable to people. However, XAI research has primarily focused on work-oriented and task-oriented explanations of AI and there has been little research on XAI for creative domains such as the Arts. This workshop will: i) build an XAIxArts research community; ii) map out the current and future possible landscapes of XAIxArts; iii) critically reflect on the potential of XAI for the Arts, forming the basis for an edited book on XAIxArts and an international network of researchers.
Nick Bryan-Kinns, Corey Ford 0002, Alan Chamberlain, Steve Benford, Helen Kennedy, Gus G. Xia, Jeba Rezwana
Creativity & Cognition5
2017 Visualization Practices in Scandinavian Newsrooms: A Qualitative Study
abstract
The visualization of numeric data is becoming an important element in journalism, and new tools and platforms make the development of data visualization in the news discourse accelerate. In this paper we present an interview study investigating this development in Scandinavian newsrooms. Editorial leaders, data journalists, graphic designers, and developers in 10 major news organizations in Norway, Sweden and Denmark inform the study on a range of issues concerning visual practices and experiences in the newsrooms. Elements of tension are revealed on issues concerning the role and effect of complex, exploratory data visualizations and concerning the role of ordinary journalists in the production of simpler charts and graphs. The results presented are the first outcome of a larger ongoing study investigating visual practices in six European countries.
Martin Engebretsen, Helen Kennedy, Wibke Weber
IV2