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SUMMARY:Algorithms and the criminal justice system: promises and challenge
 s in deployment and research - Miri Zilka\, University of Cambridge
DTSTART:20230307T140000Z
DTEND:20230307T150000Z
UID:TALK196231@talks.cam.ac.uk
CONTACT:Kieron Ivy Turk
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 regulations. \n\nOn the data front\, a key
  limitation of current ML for CJ research is overfocus on only a few datas
 ets like COMPAS. Moreover\, domain context is rarely taken into account ev
 en for these datasets. We will discuss our work on enabling researchers to
  1) better utilise existing CJ datasets\, and 2) create new datasets using
  human-machine cooperation. The latter relates to our effort to increase t
 ransparency in the UK court system by making trial transcripts amenable to
  quantitative research.
LOCATION:Webinar &amp\; FW11\, Computer Laboratory\, William Gates Buildin
 g.
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