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SUMMARY:(Modeling) Morality? On Machine Learning and Phrenology - Zeerak T
 alat (Digital Democracies Institute\, Simon Fraser University)
DTSTART:20220613T110000Z
DTEND:20220613T120000Z
UID:TALK175556@talks.cam.ac.uk
CONTACT:Michael Schlichtkrull
DESCRIPTION:Abstract:\n\nGiven the impressive performance boosts provided 
 by pre-trained models\, the fields of computer vision and natural language
  processing are investing more heavily in social prediction tasks. However
 \, such an dedication comes at the risk of several forms of ethical risks 
 and harms to marginalized communities. In particular\, machine learning fo
 r social and human data runs the risk of mirroring nineteenth century phre
 nologist methods. In this light\, this talk discusses the question: what d
 oes it mean to predict morality on the basis of modern day phrenologist me
 thods?\n\nBio:\n\nZeerak Talat is a post doctoral fellow at the Digital De
 mocracies Institute at Simon Fraser University. Talat received a Ph.D. fro
 m the University of Sheffield. In the Ph.D.\, Talat worked on automated co
 ntent moderation and how the practice of automating content moderation usi
 ng machine learning revealed underlying the political economy of machine l
 earning\, displaying issues of access\, equality\, and ethical practices. 
 Talat also founded and runs the Workshop on Online Abuse and Harms\, which
  focuses on the technical and social developments of automated content mod
 eration infrastructure. Talat is currently working on critical machine lea
 rning and the philosophy of machine learning\, aiming to identify the spec
 ific underlying causes for why and how machine learning is a currently a m
 arginalizing technology.\n\nTopic: NLIP Seminar\nTime: Jun 13\, 2022 12:00
  PM London\n\nJoin Zoom Meeting\nhttps://cl-cam-ac-uk.zoom.us/j/9207636681
 0?pwd=ZU1IV21IbnFLWldqcDU5Vi9wNUd5QT09\n\nMeeting ID: 920 7636 6810\nPassc
 ode: 933141
LOCATION:Virtual (Zoom)
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