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Questioning ‘what makes us human’: How audiences react to an artificial intelligence–driven show

Eagle, Rob; Lander, Rik; Hall, Phil D.

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Authors

Richard Lander Rik.Lander@uwe.ac.uk
Senior Lecturer in User Experience and Interface

Phil D. Hall



Abstract

I am Echoborg is promoted as ‘a show created afresh each time by the audience in conversation with an artificial intelligence (AI)’. The show demonstrates how AI in a creative and performance context can raise questions about the technology’s ethical use for persuasion and compliance, and how humans can reclaim agency. This audience study focuses on a consecutive three-night run in Bristol, UK in October 2019. The different outcomes of each show illustrate the unpredictability of audience interactions with conversational AI and how the collective dynamic of audience members shapes each performance. This study analyses (1) how I am Echoborg facilitates audience cocreation in a live performance context, (2) the show’s capacity to provoke nuanced understandings of the potential for AI and (3) the ability for intelligent technology to facilitate social interaction and group collaboration. This audience study demonstrates how the show inspires debate beyond binary conclusions (i.e. AI as good or bad) and how audiences can understand potential creative uses of AI, including as a tool for cocreating entertainment with (not just for) them.

Citation

Eagle, R., Lander, R., & Hall, P. D. (2021). Questioning ‘what makes us human’: How audiences react to an artificial intelligence–driven show. Cognitive Computation and Systems, 3(2), 91-99. https://doi.org/10.1049/ccs2.12018

Journal Article Type Article
Acceptance Date Apr 13, 2021
Online Publication Date May 12, 2021
Publication Date Jun 1, 2021
Deposit Date May 13, 2021
Publicly Available Date Jul 7, 2021
Journal Cognitive Computation and Systems
Electronic ISSN 2517-7567
Publisher Institution of Engineering and Technology (IET)
Peer Reviewed Peer Reviewed
Volume 3
Issue 2
Pages 91-99
DOI https://doi.org/10.1049/ccs2.12018
Public URL https://uwe-repository.worktribe.com/output/7381789

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