Artwork

MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Player FM -팟 캐스트 앱
Player FM 앱으로 오프라인으로 전환하세요!

Lucy Suchman: "Artificial Intelligence and Modern Warfare"

1:27:15
 
공유
 

Manage episode 245835993 series 1053864
MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
In June of 2018, following a campaign initiated by activist employees within the company, Google announced its intention not to renew a US Defense Department contract for Project Maven, an initiative to automate the identification of military targets based on drone video footage. Defendants of the program argued that that it would increase the efficiency and effectiveness of US drone operations, not least by enabling more accurate recognition of those who are the program’s legitimate targets and, by implication, sparing the lives of noncombatants. But this promise begs a more fundamental question: What relations of reciprocal familiarity does recognition presuppose? And in the absence of those relations, what schemas of categorization inform our readings of the Other? The focus of a growing body of scholarship, this question haunts not only US military operations but an expanding array of technologies of social sorting. Understood as apparatuses of recognition (Barad 2007: 171), Project Maven and the US program of targeted killing are implicated in perpetuating the very architectures of enmity that they take as their necessitating conditions. Taking any apparatus for the identification of those who comprise legitimate targets for the use of violent force as problematic, this talk joins a growing body of scholarship on the technopolitical logics that underpin an increasingly violent landscape of institutions, infrastructures and actions, promising protection to some but arguably contributing to our collective insecurity. Lucy Suchman’s concern is with the asymmetric distributions of sociotechnologies of (in)security, their deadly and injurious effects, and the legal, ethical, and moral questions that haunt their operations. She closes with some thoughts on how we might interrupt the workings of these apparatuses, in the service of wider movements for social justice. Lucy Suchman is a Professor of Anthropology of Science and Technology in the Department of Sociology at Lancaster University, in the United Kingdom.
  continue reading

407 에피소드

Artwork
icon공유
 
Manage episode 245835993 series 1053864
MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 MIT Comparative Media Studies/Writing and Massachusetts Institute of Technology 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
In June of 2018, following a campaign initiated by activist employees within the company, Google announced its intention not to renew a US Defense Department contract for Project Maven, an initiative to automate the identification of military targets based on drone video footage. Defendants of the program argued that that it would increase the efficiency and effectiveness of US drone operations, not least by enabling more accurate recognition of those who are the program’s legitimate targets and, by implication, sparing the lives of noncombatants. But this promise begs a more fundamental question: What relations of reciprocal familiarity does recognition presuppose? And in the absence of those relations, what schemas of categorization inform our readings of the Other? The focus of a growing body of scholarship, this question haunts not only US military operations but an expanding array of technologies of social sorting. Understood as apparatuses of recognition (Barad 2007: 171), Project Maven and the US program of targeted killing are implicated in perpetuating the very architectures of enmity that they take as their necessitating conditions. Taking any apparatus for the identification of those who comprise legitimate targets for the use of violent force as problematic, this talk joins a growing body of scholarship on the technopolitical logics that underpin an increasingly violent landscape of institutions, infrastructures and actions, promising protection to some but arguably contributing to our collective insecurity. Lucy Suchman’s concern is with the asymmetric distributions of sociotechnologies of (in)security, their deadly and injurious effects, and the legal, ethical, and moral questions that haunt their operations. She closes with some thoughts on how we might interrupt the workings of these apparatuses, in the service of wider movements for social justice. Lucy Suchman is a Professor of Anthropology of Science and Technology in the Department of Sociology at Lancaster University, in the United Kingdom.
  continue reading

407 에피소드

ทุกตอน

×
 
Loading …

플레이어 FM에 오신것을 환영합니다!

플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.

 

빠른 참조 가이드

탐색하는 동안 이 프로그램을 들어보세요.
재생