Iris Long

Iris Long

Writer and Independent Curator; 2022-2023 Berggruen China Center Fellow


Iris Long (b.1990) is a writer and independent curator with a particular focus on how trans-disciplinary practices can enable novel knowledge production as opposed to concept appropriation or generalization. She has curated exhibitions around art and technology, such as “Lying Sophia and Mocking Alexa” (, Hyundai Blue Prize recipient), “Blue Cables in Venetian Watercourse”(PSA Emerging Curator’s Program Award), the third Today Art Museum “Future of Today” and so on.  She was also on the art jury of ISEA 2019 and SIGGRAPH ASIA 2020/2022. Iris’s research has been presented in “Art and Artificial Intelligence” (Open Conference, ZKM), “Art Machines: International Symposium on Computational Media Art (ISCMA)” (Hong Kong), Digital Research in the Humanities and Arts (London), ISEA and so on. In 2021, she initialized “Port: Under the Cloud”, a long-term research and curatorial project on the infrastructures of science and technology in China. In 2022, she participates in ZKM’s “Driving the Human” project as a scientist-in-residence. Personal website:

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.