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[Commlist] CfP: Algorithmic Music
Fri Jan 25 14:09:56 GMT 2019
CfP Reminder: 1 February
Algorithmic Music: Value, Creativity and Artificial Intelligence
A One-Day Symposium: 11 April 2019
Call for papers
Hosted by Department of Music and the Department of Digital Humanities
King’s College London
New digital technologies—particularly the algorithms of streaming
platforms such as Spotify—are having an unprecedented and
little-understood effect on the way music is created and valued today.
The music industry, of which the UK is a global centre, finds itself in
a crucial transitional moment in which these new algorithmic and AI
music technologies are developing apace. While Spotify's algorithm is
already reshaping how music is valued in monetary terms, advances in AI
are raising wider questions about the role of human creativity itself.
How these technologies are configured and deployed in the immediate
term—by established companies such as Spotify, Apple and Amazon, as well
as by innovative tech startups—will transform and shape the profession
of musician over the next few decades.
What motivates an algorithm? What programming decisions are being made,
in places like London and San Francisco, that will shape the future of
musical composition, performance, and consumption across the globe? How
are these choices being informed? At the heart of these questions lie
deeper philosophical concerns about how algorithms and AI—such as
Facebook's News Feed, Google Search and Amazon's Alexa—are increasingly
mediating our social and political lives, shaping our moral and ethical
choices in the process. What role, for example, will AI play in shaping
musical tastes of the future and how will composers respond? As the
algorithms of Spotify and YouTube become ever more 'global' in their
reach, what happens to musical practices and creativity in large and
increasingly important parts of the world, such as South Asia, China and
South America, that are frequently overlooked by a more western-centred
music industry?
This interdisciplinary and industry-engaged symposium seeks to explore
these questions via a range of ‘algorithmic objects’ – recommender
systems, AI compositional tools, metadata sets etc. – with a view to
developing new methodological approaches for publication in a
high-ranking journal special issue.
The format of the day (subject to change) will include: 1. Key
literature group discussion(s), 2. Individual 10-15 minute ‘algorithmic
object’ presentation + discussion/troubleshooting, 3. Methodology
roundtable.
We invite proposals for presentations/demonstrations of up to 15
minutes, from any discipline or industry, that seek to interrogate a
particular algorithmic music object.
Presentation/demo titles and abstracts of 250 words should be sent to
(thomas.e.hodgson /at/ kcl.ac.uk)<mailto:(thomas.e.hodgson /at/ kcl.ac.uk)> by 1st
February 2019. Notifications of acceptance will be sent by 15th February
2019.
Programme Committee: Thomas Hodgson (Department of Music, King’s College
London), Jonathan Gray (Department of the Digital Humanities, King’s
College London)
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