Creative Agency: A Clearer Goal for Artificial Life in the Arts

Bown, Oliver; McCormack, Jon

doi:10.1007/978-3-642-21314-4_32

Cited by 8 publications

(8 citation statements)

References 11 publications

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“…It should come as no surprise that, despite public reaction to the sale of Portrait of Edmond Belamy, these are well explored issues (see e.g. [7,8,9,10,11,12,13,14,15,16,17,18,19,20]). It is worth revisiting them for two reasons: firstly to encapsulate more than half a century of discussion around computer created art, and secondly, to see if recent advances in Machine Learning techniques, such as Deep Learning and GANs, change any of the well established research and commentary in this area.…”

mentioning

confidence: 99%

Autonomy, Authenticity, Authorship and Intention in Computer Generated Art

McCormack

Gifford

Hutchings

2019

Lecture Notes in Computer Science

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0000−0001−6328−5064] , Toby Gifford [0000−0002−9902−3362] , and Patrick Hutchings [0000−0001−8680−6969]Abstract. This paper examines five key questions surrounding computer generated art. Driven by the recent public auction of a work of "AI Art" we selectively summarise many decades of research and commentary around topics of autonomy, authenticity, authorship and intention in computer generated art, and use this research to answer contemporary questions often asked about art made by computers that concern these topics. We additionally reflect on whether current techniques in deep learning and Generative Adversarial Networks significantly change the answers provided by many decades of prior research.

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confidence: 99%

Autonomy, Authenticity, Authorship and Intention in Computer Generated Art

McCormack

Gifford

Hutchings

2019

Lecture Notes in Computer Science

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“…This approach draws from concepts of agency and autonomy [78] where non-autonomous agents serve the (in our case artistic motivations) of another, and autonomous agents have their own motivations and so can generate their own artistic goals. Currently, questions about the level of an AI's autonomy is primarily used in the characterisation of systems rather than in directing the creative process and generating artistic or performative "goals", what we have termed "creative agency" [79]. Shifting the emphasis to both developing and supporting creative goals seems a more beneficial approach.…”

Section: Designing For Agency Autonomy and Reflectionmentioning

confidence: 99%

Design Considerations for Real-Time Collaboration with Creative Artificial Intelligence

McCormack¹,

Hutchings²,

Gifford³

et al. 2020

Org. Sound

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Machines incorporating techniques from artificial intelligence and machine learning can work with human users on a moment-to-moment, real-time basis to generate creative outcomes, performances and artefacts. We define such systems collaborative, creative AI systems, and in this article, consider the theoretical and practical considerations needed for their design so as to support improvisation, performance and co-creation through real-time, sustained, moment-to-moment interaction. We begin by providing an overview of creative AI systems, examining strengths, opportunities and criticisms in order to draw out the key considerations when designing AI for human creative collaboration. We argue that the artistic goals and creative process should be first and foremost in any design. We then draw from a range of research that looks at human collaboration and teamwork, to examine features that support trust, cooperation, shared awareness and a shared information space. We highlight the importance of understanding the scope and perception of two-way communication between human and machine agents in order to support reflection on conflict, error, evaluation and flow. We conclude with a summary of the range of design challenges for building such systems in provoking, challenging and enhancing human creative activity through their creative agency.

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“…In this paper we investigate the benefits of extra-musical interaction in real time music improvisation and co-creation with an artificially intelligent creative partner. Recent advances in Artificial Intelligence (AI) techniques, coupled with increasingly powerful computer resources, make it feasible to engage in artistic collaborations with a machine intelligence, because it exhibits degrees of creative agency [3] and autonomy [2,Chapter 9] which traditional tools or instrumentseither digital or analogue -do not possess [12,30].…”

Section: Introductionmentioning

confidence: 99%

In a Silent Way

McCormack

Gifford

Hutchings

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Collaboration is built on trust, and establishing trust with a creative Artificial Intelligence is difficult when the decision process or internal state driving its behaviour isn't exposed. When human musicians improvise together, a number of extra-musical cues are used to augment musical communication and expose mental or emotional states which affect musical decisions and the effectiveness of the collaboration. We developed a collaborative improvising AI drummer that communicates its confidence through an emoticon-based visualisation. The AI was trained on musical performance data, as well as real-time skin conductance, of musicians improvising with professional drummers, exposing both musical and extra-musical cues to inform its generative process. Uni-and bi-directional extra-musical communication with real and false values were tested by experienced improvising musicians. Each condition was evaluated using the FSS-2 questionnaire, as a proxy for musical engagement. The results show a positive correlation between extra-musical communication of machine internal state and human musical engagement. CCS CONCEPTS• Human-centered computing → Interactive systems and tools; • Computing methodologies → Artificial intelligence; • Applied computing → Sound and music computing.

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Creative Agency: A Clearer Goal for Artificial Life in the Arts

Cited by 8 publications

References 11 publications

Autonomy, Authenticity, Authorship and Intention in Computer Generated Art

Autonomy, Authenticity, Authorship and Intention in Computer Generated Art

Design Considerations for Real-Time Collaboration with Creative Artificial Intelligence

In a Silent Way

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