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DTSTART:20181028T030000
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RDATE:20191027T030000
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UID:calendar.18181.field_data.0@oba.diag.uniroma1.it
DTSTAMP:20260404T235258Z
CREATED:20190522T094754Z
DESCRIPTION:Monday 27th May 2019 09:00 - 16:00\, DIAG\, Via Ariosto 25\, ro
 om B2031.                   09:00-11:00 Introduction to Algorithmic Bias (
 Carlos Castillo - UPF)                                          Introducti
 on to Algorithmic Discrimination                                          
  The Discrimination Discovery Task 2.                   11:15-13:15 Mitiga
 ting Algorithmic Bias (Francesco Bonchi - ISI Torino & Eurecat)           
                                Mitigation of Algorithmic Bias in Data Mini
 ng 3.                   14:00-16:00 Fairness in Machine Learning (Carlos C
 astillo - UPF)                                          Discrimination in 
 supervised classification                                            Pract
 ice on criminal recidivism: https://bitbucket.org/chato/savry-exploration/
 src/master/  Tuesday May 28  2019\, 9.00 - 16.00\, DIAG\, Via Ariosto 25\,
  room B2034.                   09:00-11:00 Tools for Algorithmic Bias Dete
 ction and Mitigation (Francesco Bonchi - ISI Torino & Eurecat)            
                               Tools for Algorithmic Bias Detection and Mit
 igation5.                   11:15-13:15 Fairness in Rankings + Ethics disc
 ussion (Carlos Castillo - UPF)                                          Fa
 irness in Rankings                                      Ethics of Social M
 edia Research\; group discussion of case studies.6.                   14:0
 0 - 16:00 Algorithmic Fairness (Chris Schwiegelshohn - Sapienza)          
      The Notion of Disparate Impact               Fair algorithms for Clus
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DTSTART;TZID=Europe/Paris:20190527T114500
DTEND;TZID=Europe/Paris:20190528T160000
LAST-MODIFIED:20200521T221508Z
LOCATION:DIAG - Via Ariosto 25\, Room B203
SUMMARY:Algorithmic bias and ethics of ML systems
 - Data Science PhD Cours
 e  - Francesco Bonchi (ISI Torino & Eurecat)\, Carlos Castillo (UPF Barcel
 ona)\, Chris Schwiegelshohn (Sapienza) \n\n\n  \n  \n\n    \n\n\nChris\n\n
 \nSchwiegelshohn  \n\n  \n\n    \n\n\n\n\n\nOspite\n\nMember of: \n\n  \n
 \n  \n\n    \n\nqualifica_rr: \n\nAssistant professors (ricercatori)
URL;TYPE=URI:http://oba.diag.uniroma1.it/node/18181
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