BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:Europe/Vienna
BEGIN:DAYLIGHT
DTSTART:20180325T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20171029T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260406T054641Z
UID:5a61bf38629fb553300996@ist.ac.at
DTSTART:20180125T090000
DTEND:20180125T100000
DESCRIPTION:Speaker: Novi Quadrianto\nhosted by Christoph Lampert\nAbstract
 : Machine learning technologies have permeated everyday life and it is com
 mon nowadays that an automated system makes decisions for/about us\, for e
 xample\, perhaps deciding who is going to get a Raiffeisen bank loan. Addr
 essing ethical and legal aspects posed by those technologies constitutes a
  pressing problem. The long-term goal of our research group is to develop 
 a machine learning framework with plug-and-play ethical and legal constrai
 nts that is able to handle fairness\, confidentiality\, and transparency c
 onstraints\, their combinations\, and also new constraints that might be s
 tipulated in the future. In this talk\, I will be mostly discussing backgr
 ound research in fairness and transparency\, before presenting our own wor
 k in unifying several notions of fairness.
LOCATION:Mondi Seminar Room 3\, Central Building\, ISTA
ORGANIZER:abonvent@ist.ac.at
SUMMARY:Novi Quadrianto: Ethical machine learning
URL:https://talks-calendar.ista.ac.at/events/1057
END:VEVENT
END:VCALENDAR