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INDEX: Interviews | [] |
{{< content “interview/feldman-li-mills-pfeiffer.md” >}}
Lauren talks us through some of her many works concerned with smart speakers, machine listening and social relationships in the midst of surveillance, automation, and algorithmic living. We discuss: LAUREN, for which she attempted to become a human version of Alexa, SOMEONE, which won her the Prix Ars Electronica 2020 / Interactive Art +, and a range of related works and political questions.
Alex talks to us about Project Spectra, an online, community-based, free and open source software application for transgender voice training. We discuss speech pathology and the politics of pitch, along with the importance of grass-roots led tech projects and community-centred design.
Stefan’s 2018 dossier on machine listening for Technosphere puts the work of artists like George Lewis, Jennifer Walshe, Florian Hecker, and Maryanne Amacher into conversation with Google’s wavenet. We talk about these and other works along with Stefan’s own compositions which treat machine listening as a prepared instrument, ready to be detourned.
Yolande and Jenny provide a “reboot” manifesta in their book The Smart Wife: Why Siri, Alexa, and Other Smart Home Devices Need a Feminist Reboot, which lays out their proposals for improving the design and social effects of digital voice assistants, social robots, sex robots, and other AI arriving in the home.
Billy tells us about his research on “adversarial music”, and in particular an attempt to produce a “Real World Audio Adversary Against Wake-word Detection Systems” for Amazon Alexa.
André talks to us about UN Global Pulse, the UN’s big data initiative, and in particular one program which “uses machine Learning to analyse radio content in Uganda”. We discuss the increasing entanglements of big tech, the UN and human rights discourse more broadly, as well as an emergent “right to be counted”.
Angie talks to us about Old Ways, New, the Indigenous owned and led social enterprise she founded, based on Gadigal land in Redfern, Sydney. We discuss Decolonising the Digital, Country Centered Design, a methodology which applies Indigenous design principles to the development of technologies for places, spaces and experiences, and how this contrasts with the ‘placelessness’ on which so many machine learning/listening systems are based.
This is the first of three radio shows as part of Jasmine’s guest residency at Noods Radio. It features an interview with James about his research on machine listening, this curriculum, the project with Unsound, and a selection of electronic music.
Vladan walks us through Anatomy of an AI System, his 2018 work with Kate Crawford, which diagrams the Amazon Echo as an anatomical map of human labor, data and planetary resources. We talk about the politics of visibility and method as well as Vladan’s work with Share Lab, “where indie data punk meets media theory pop to investigate digital rights blues.”
Halcyon talks us through some of her work on the politics of voice user interfaces: in particular accent bias, ‘Siri discipline’ and the ways in which smart speakers reproduce and hardwire longstanding forms of linguistic imperialism.
Thomas is CEO of Paranoid Inc, which makes devices that block smart speakers from listening. The company’s mandate “earn lots of money by increasing privacy, not eroding it” imagines an emerging privacy industry, as data mining and surveillance continues to become the dominant business model in silicon valley and elsewhere.
Mark’s recent book Automated Media considers the politics of automation through the “cascading logics” of pre-emption, operationalism, and “framelessness”. We talk through some of these ideas, along with the limits of “surveillance capitalism” as an analytic frame, “touchlessness” in the time of Covid, “operational listening”, what automation is doing to subjectivity... and how all this relates to reality TV.
{{< content “interview/shannon-mattern.md” >}}
Kathy talks to us about her work with Mycroft, Mozilla Voice and now 3AI on open source voice assistants and the technics and politics of automatic speech recognition, along with a couple of utopian possibilities.