Jacob Ward

Jacob Ward

Journalist, Writer and Television Correspondent; 2018-19 Berggruen Fellow at CASBS

Biography

Jacob Ward is an on-air correspondent for NBC News, covering the intersection of technology, human behavior, and social change for Nightly News, The TODAY Show, and MSNBC. He is the former Editor-in-Chief of Popular Science magazine and was Al Jazeera’s science and technology correspondent from 2013 to 2018.

Ward is a lecturer at the Stanford d.school, and was a 2018-2019 Berggruen Fellow at Stanford University’s Center for Advanced Study in the Behavioral Sciences, where he began writing The Loop: How Technology is Creating a World without Choices and How to Fight Back, out January 24, 2022 from Hachette Book Group. The book explores how artificial intelligence and other decision-shaping technologies will amplify good and bad human instincts. Ward has written for The New Yorker, The New York Times Magazine, Wired, and many other publications. In addition to hosting documentaries for National Geograpic and Discovery, he’s the host of the landmark four-hour PBS television series, “Hacking Your Mind,” about human decision-making and manipulation.”


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