All Outputs (5)

Towards sentience: A path through jazz, datasets and digital scores (2024)
Presentation / Conference Contribution
Poltronieri, F., & Vear, C. (2024, June). Towards sentience: A path through jazz, datasets and digital scores. Paper presented at International Symposium of Electronic Art 2024, Brisbane, Australia

This short paper is a provocation in which we lean into the notion of sentience in Creative-AI music. The purpose of this is to highlight that a critical component when using bucket terms such as ”creativity”, ”intelligence” or ”sentience” in the des... Read More about Towards sentience: A path through jazz, datasets and digital scores.

Jess+: AI and robotics with inclusive music-making (2024)
Presentation / Conference Contribution
Vear, C., Hazzard, A., Moroz, S., & Benerradi, J. (2024). Jess+: AI and robotics with inclusive music-making. In CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems (1-17). https://doi.org/10.1145/3613904.3642548

This paper discusses the findings from a cross-sector research project investigating how a digital score created using AI and robotics might stimulate new creative opportunities and relationships within the practices of an inclusive music ensemble. T... Read More about Jess+: AI and robotics with inclusive music-making.

Building an Embodied Musicking Dataset for co-creative music-making (2024)
Presentation / Conference Contribution
Vear, C., Poltronieri, F., DiDonato, B., Zhang, Y., Benerradi, J., Hutchinson, S., Turowski, P., Shell, J., & Malekmohamadi, H. (2024, April). Building an Embodied Musicking Dataset for co-creative music-making. Presented at 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) 2024, Aberystwyth University, Wales

In this paper, we present our findings of the design, development and deployment of a proof-of-concept dataset that captures some of the physiological, musicological, and psychological aspects of embodied musicking. After outlining the conceptual ele... Read More about Building an Embodied Musicking Dataset for co-creative music-making.

Human-AI Musicking: A Framework for Designing AI for Music Co-creativity (2023)
Presentation / Conference Contribution
Vear, C., Benford, S., Avila, J. M., & Moroz, S. (2023). Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

In this paper, we present a framework for understanding human-AI musicking. This framework prompts a series of questions for reflecting on various aspects of the creative interrelationships between musicians and AI and thus can be used as a tool for... Read More about Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

Five Provocations for a More Creative TAS (2023)
Presentation / Conference Contribution
Benford, S., Hazzard, A., Vear, C., Webb, H., Chamberlain, A., Greenhalgh, C., …Marshall, J. (2023). Five Provocations for a More Creative TAS. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3599709

Conventional wisdom has it that trustworthy autonomous systems (AS) should be explainable, dependable, controllable and safe tools for humans to use. Reflecting on a portfolio of artistic applications of TAS leads us adopt an alternative stance and t... Read More about Five Provocations for a More Creative TAS.