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SUMMARY:Promises and Challenges in Trustworthy Machine Learning Deployment
 \, with a Criminal Justice Case Study - Dr Miri Zilka\, Leverhulme Researc
 h Fellow in the Machine Learning Group\; Research Associate at King’s Co
 llege\; Associate Fellow at the Leverhulme Centre for the Future of Intell
 igence
DTSTART:20230206T110000Z
DTEND:20230206T120000Z
UID:TALK196969@talks.cam.ac.uk
CONTACT:John Dudley
DESCRIPTION:The criminal justice (CJ) system has embraced the use of algor
 ithmic tools. They are employed as decision aids\, from policing to parole
  decisions. This may bring benefits such as improved efficiency and consis
 tency\, but also raises many concerns. We will discuss the gap between the
  promised benefits and what is happening in practice\, highlighting challe
 nges around data\, ethics\, and regulation.
LOCATION: Cambridge University Engineering Department\, Lecture Room 4
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