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content/topic/(against)-the-coming-world-of-listening-machines.md
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| @@ -105,7 +105,7 @@ Scientifically, machine listening demands enormous volumes of data: exhorted, ex | |||||
| Because machine listening is trained on (more-than) human auditory worlds, it inevitably encodes, invisibilises and reinscribes normative listenings, along with a range of more arbitrary artifacts of the datasets, statistical models and computational systems which are at once its lifeblood and fundamentally opaque.[^McQuillan] This combination means that machine listening is simultaneously an alibi or front for the proliferation and normalisation of specific auditory practices *as* machinic, and, conversely, often irreducible to human apprehension; which is to say the worst of both worlds. | Because machine listening is trained on (more-than) human auditory worlds, it inevitably encodes, invisibilises and reinscribes normative listenings, along with a range of more arbitrary artifacts of the datasets, statistical models and computational systems which are at once its lifeblood and fundamentally opaque.[^McQuillan] This combination means that machine listening is simultaneously an alibi or front for the proliferation and normalisation of specific auditory practices *as* machinic, and, conversely, often irreducible to human apprehension; which is to say the worst of both worlds. | ||||
| Moreover, because machine listening is so deeply bound up with logics of automation and pre-emption, it is also recursive. It feeds its listenings back into the world - /Yolande%20Strengers%20and%20Jenny%20Ken%20-%20Yolande%20Strengers,%20Jenny%20Kenned.mp3|946000|1390000),[^YS] colonial and colonizing, ,[^halcyon_audio_1] classed and productive of class relations - as Siri's answer or failure to answer; by alerting the police, denying your [claim for asylum](https://www.theverge.com/2017/3/17/14956532/germany-refugee-voice-analysis-dialect-speech-software), or continuing to play Autechre - and this incites an auditory response to which it listens in turn. The soundscape is increasingly cybernetic. Confronting machine listening means recognising that common-sense distinctions between human and machine simply fail to hold. We are all machine listeners now. We have been becoming machine listeners for a long time. Indeed, the becoming machinic of listening is a foundational concern for any contemporary politics of listening; not because mechanisation *itself* is a problem, but because it is the condition in which we increasingly find ourselves.[^Abu Hamdan] | |||||
| Moreover, because machine listening is so deeply bound up with logics of automation and pre-emption, it is also recursive. It feeds its listenings back into the world - /Yolande%20Strengers%20and%20Jenny%20Ken%20-%20Yolande%20Strengers,%20Jenny%20Kenned.mp3|952000|1390000),[^YS] colonial and colonizing, ,[^halcyon_audio_1] classed and productive of class relations - as Siri's answer or failure to answer; by alerting the police, denying your [claim for asylum](https://www.theverge.com/2017/3/17/14956532/germany-refugee-voice-analysis-dialect-speech-software), or continuing to play Autechre - and this incites an auditory response to which it listens in turn. The soundscape is increasingly cybernetic. Confronting machine listening means recognising that common-sense distinctions between human and machine simply fail to hold. We are all machine listeners now. We have been becoming machine listeners for a long time. Indeed, the becoming machinic of listening is a foundational concern for any contemporary politics of listening; not because mechanisation *itself* is a problem, but because it is the condition in which we increasingly find ourselves.[^Abu Hamdan] | |||||
| But machine listening isn't exactly listening either. | But machine listening isn't exactly listening either. | ||||