S. M. Amadae

S. M. Amadae

University Lecturer in Politics; 2019-2021 Berggruen Fellow at CASBS


S. M. Amadae is conducting research on how neoliberal capitalism anticipates the political illiberalism which stoke national populism. She is currently a University Lecturer in Politics at the University of Helsinki, Finland and is studying the Nordic welfare model and its cooperative business form as a non-utopian alternative to neoliberal forms of political economy. Current work also includes research on the impact of systemic discrimination. She also holds appointments of Research Affiliate at the Centre for the Study of Existential Risk, University of Cambridge; and Research Affiliate in Science, Technology, and Society at MIT. Her publications include Prisoners of Reason: Game Theory and Neoliberal Political Economy (Cambridge University Press 2016) and the award-winning Rationalizing Capitalist Democracy: Cold War Origins of Rational Choice Liberalism (University of Chicago Press, 2003).

composed by Arswain
machine learning consultation by Anna Tskhovrebov
commissioned by the Berggruen Institute
premiered at the Bradbury Building
downtown Los Angeles
april 22, 2022

Human perception of what sounds “beautiful” is necessarily biased and exclusive. If we are to truly expand our hearing apparatus, and thus our notion of beauty, we must not only shed preconceived sonic associations but also invite creative participation from beings non-human and non-living. We must also begin to cede creative control away from ourselves and toward such beings by encouraging them to exercise their own standards of beauty and collaborate with each other.

Movement I: Alarm Call
‘Alarm Call’ is a long-form composition and sound collage that juxtaposes, combines, and manipulates alarm calls from various human, non-human, and non-living beings. Evolutionary biologists understand the alarm call to be an altruistic behavior between species, who, by warning others of danger, place themselves by instinct in a broader system of belonging. The piece poses the question: how might we hear better to broaden and enhance our sense of belonging in the universe? Might we behave more altruistically if we better heed the calls of – and call out to – non-human beings?

Using granular synthesis, biofeedback, and algorithmic modulation, I fold the human alarm call – the siren – into non-human alarm calls, generating novel “inter-being” sonic collaborations with increasing sophistication and complexity. 

Movement II: A.I.-Truism
A synthesizer piece co-written with an AI in the style of Vangelis’s Blade Runner score, to pay homage to the space of the Bradbury Building.

Movement III: Alarmism
A machine learning model “learns” A.I.Truism and recreates Alarm Call, generating an original fusion of the two.

Movement IV: A.I. Call
A machine learning model “learns” Alarm Call and recreates A.I.Truism, generating an original fusion of the two.

RAVE (IRCAM 2021) https://github.com/acids-ircam/RAVE