Ethics in Digital Governance

June 5, 2021

6pm — Virtual

Time:
June 5, 2021: 6:00 p.m. – 9:30 p.m. PDT
June 6, 2021: 9:00 a.m. – 12:30 p.m. CST

Language:
English, Chinese, with machine translation available

Watch online:
https://www.itdks.com/Home/mobile/detail?id=18938&type=live

Topic：
Ethics in Digital Governance
Forum on the Ethics of Artificial Intelligence from a Global Perspective,
The Global Artificial Intelligence Technology Conference 2021 

Location:
Hangzhou & Live online

Agenda:

Panel 1: 9:00-10:55 CST
It is Imperative to Implement Ethics and Digital Governance
Intelligent Technologies and Digital Governance

Chen Xiaoping, Professor, University of Science and Technology of China
Yao Xin, Professor, Southern University of Science and Technology; IEEE Fellow
Liu Xiao, Assistant Professor, McGill University; Berggruen Fellow
Xu Ke, Associate Professor, University of International Business and Economics
Cao Jianfeng, Senior Research Fellow, Tencent Research Institute

Panel 2 10:55-12:30 CST
Beyond Ethics—AI Ethics and Human Society

Duan Weiwen, Professor, Chinese Academy of Social Sciences; Berggruen Fellow
Zhu Jing, Professor, Xiamen University
Tobias Rees, Founding Director, Transformations of the Human Program, Berggruen Institute
Peter D. Hershock, Director, Asian Studies Development Program, East West Center

Hosts:
AI Ethics Committee, Chinese Association for Artificial Intelligence
Berggruen Research Center, Peking University

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