Sophia Goodfriend
Surveillance, Artificial Intelligence, and Digital RightsI am the Harry Frank Guggenheim Research Fellow at the University of Cambridge’s Pembroke College and a non-resident fellow at the Harvard Kennedy School’s Middle East Initiative. My research examines the impact of big data and machine learning on military conflict.
My popular writing on warfare and automation has appeared in The London Review of Books, Foreign Policy, The Baffler, +972 Magazine, The Boston Review, among other outlets. I have a PhD in Cultural Anthropology from Duke University. I recieved a Master’s in Social Sciences from the University of Chicago and a BA in American Studies (summa cum laude) from Tufts University. My research has been supported by the Harvard Kennedy School’s Belfer Center, the Fulbright-Hays Program, and the National Science Foundation, among other institutions. My inbox is open for commissions.
My research and writing examines how artificial intelligence is upending what it means to wage and live with war. I leverage multi-sited and investigative ethnographic methods to foreground the human lives at stake in increasingly automated military conflicts.
I defended my dissertation, Automating Warfare in Israel and Palestine, in the summer of 2024. Based on four years of ethnographic research with soldiers and civilians living at the cross-hairs of regional
conflict, my study provides an ethnographic portrait of automated warfare’s profoundly human costs.
My research has theoretical and practical implications. Ethnographically, I ask what unchecked developments in AI mean for the human condition. Practically, my research investigates the risks posed by new technologies while outlining how automated systems can be implemented without eroding fundamental human rights.
Algorithmic Dissent: Militarized Platforms in Jerusalem
Journal of Palestine Studies Fall 2024Read
A Street View of Occupation:
Getting Around Hebron on Google Maps
Visual Anthropology Review, Fall 2021Read
Algorithmic State Violence: Automated Surveillance and Dispossession in Hebron's Old City
Int. Journal of Middle East Studies Summer 2023Read
Forthcoming Spring 2022
Drone Warfare's Redemptive Refrains
Drone Aesthetics: War, Culture, EcologyLondon: Open Humanities Press
Militarised AI
The London Review of BooksRead
The New Old Warfare
The Boston ReviewRead
Kill Lists
London Review of BooksRead
the human decisions behind Israel’s automated war
+972 MagazineRead
In Tel Aviv
London Review of Books BlogRead
Blunt force
The BafflerRead
Israel’s TikTok Extremists
Jewish CurrentsRead
How AI is intensifying Israel’s bombardments of Gaza
+972 MagazineRead
Israel’s Far Right Could Escalate Drone Warfare Against Palestinians
Foreign PolicyRead
Point. Click. Occupy.
The BafflerRead
How the Occupation Fuels Tel Aviv’s Booming AI Sector
Foreign PolicyRead
Cyberespionage with Benefits
Boston ReviewRead
When Palestinian Political Speech Is “Incitement”
Jewish CurrentsRead
The AI dragnet
Dissent and The InterceptRead
Image restoration
+972 MagazineRead
High Tech Surveillance was Never going to bring peace
Foreign PolicyRead
gaza war offers ultimate Marketing opportunity for arms firms
+972 MagazineRead
Viral Atrocities
SapiensRead
New Tech, Old War
London Review of Books BlogRead
Paranoid Posting
The BafflerRead
The gamified occupation
Jewish CurrentsRead
The banality of surveillance
The Boston ReviewRead
The start-up spy state
+972 MagazineRead
‘We violated people’s privacy for a living’: How Israel’s cyber army went corporate
+972 MagazineRead
Naked Gun
Jewish CurrentsRead
Featured
Trump’s SurveIllance Tech
The Intercept BriefingListen
Israel’s Techno-Solutionism
Politics Theory OtherListen
Why Are Israeli Defense Forces Soldiers Posting Thirst Traps on TikTok?
Rolling StoneRead
A Political Road Not Taken in America
The New York TimesRead
PRecision Warfare does not exist
This is Hell RadioListen
Al Jazeera Listening Post
Documenting Surveillance in HebronWatch
Unregulated Israeli spyware is a global threat, experts warn
The Middle East EyeRead
slgoodfriend@gmail.com | signal: sopgood.53