Francis Fukuyama

Francis Fukuyama

Mosbacher Director of the Center on Democracy, Development, and the Rule of Law, Stanford University

Biography

Francis Fukuyama is the Olivier Nomellini senior fellow at the Freeman Spogli Institute for International Studies, Stanford University. He was previously Bernard Schwartz Professor of International Political Economy at the School of Advanced International Studies (SAIS), John Hopkins University, and Hirst Professor of Public Policy at George Mason University. He has worked at the Rand Corporation and as a member of the Policy Planning Staff of the US Department of State.

Francis Fukuyama received his B.A. from Cornell University in classics, and his Ph.D. from Harvard in Political Science. He has written widely on questions concerning democratization and international political economy. His book, The End of History and the Last Man, was published by Free Press in 1992 and has appeared in over twenty foreign editions.

Fukuyama was previously a member of the 21st Century Council and The WorldPost Advisory Council.


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