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URL:https://murmitoyen.com/events/vanille/udem/detail/812823-artificial-tes
 timony-algorithms-and-legal-proof
LOCATION:Laboratoire de cyberjustice\, 3200 rue Jean-Brillant\, B-2215 \, U
 niversité de Montréal \, Montréal\, Québec\, Canada\, H3T 1N8
SUMMARY:Artificial Testimony: Algorithms and Legal Proof
DESCRIPTION:When a person makes a decision\, and that decision results in h
 arm\, often that person can be called in to court to explain their actions
 . What happens when an algorithmic decision results in harm? One option is
  to create new legal structures to govern algorithms\; but another option 
 is to create algorithms capable of meeting existing legal standards of pro
 of. This talk presents three modes by which algorithmic can be understood 
 - transparency\, statistical analysis\, and explanation - and describes ho
 w each could fit into the Anglo-American legal tradition.
\n 
\nMason Kor
 tz is a clinical instructional fellow at the Harvard Law School Cyberlaw C
 linic\, part of the Berkman Klein Center for Internet & Society. His areas
  of interest include online speech and privacy and the use of data product
 s (big or small) to advance social justice. Mason has worked as a data man
 ager for the Scripps Institution of Oceanography\, a legal fellow in the T
 echnology for Liberty Project at the American Civil Liberties Union of Mas
 sachusetts\, and a clerk in the District of Massachusetts. He has a JD fro
 m Harvard Law School and a BA in Computer Science and Philosophy from Dart
 mouth College. In his spare time\, he enjoys cooking\, reading\, and game 
 design.
\n 
\nSource: https://cyber.harvard.edu/people/mkortz
\n 
\nForm
 ation d’un dispensateur reconnu aux fins de la formation continue obliga
 toire du Barreau du Québec pour une durée de 1 heure et 30 minutes. Une 
 attestation de participation représentant 1 heure et 30 minutes de format
 ion sera aussi transmise aux notaires.
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