BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2//
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:STANDARD
DTSTART:20231029T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20240331T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.27625.field_data.0@www.diag.uniroma1.it
DTSTAMP:20260403T204158Z
CREATED:20240122T124557Z
DESCRIPTION:AbstractIn the first part\, to set the stage\, we cover irrespo
 nsible AI: (1) discrimination (e.g.\, facial recognition\, justice)\; (2) 
 phrenology (e.g.\, biometric based predictions)\; (3) limitations (e.g.\, 
 human incompetence\, minimal adversarial AI)\, (4) indiscriminate use of c
 omputing resources (e.g.\, large language models) and (5) the impact of ge
 nerative AI (disinformation\, mental health and copyright issues). These e
 xamples do have a personal bias but set the context for the second part wh
 ere we address three challenges: (1) principles & governance\, (2) regulat
 ion and (3) our cognitive biases. We finish discussing our responsible AI 
 initiatives and the near future.BioRicardo Baeza-Yates is Director of Rese
 arch at the Institute for Experiential AI of Northeastern University. Befo
 re\, he was VP of Research at Yahoo Labs\, based in Barcelona\, Spain\, an
 d later in Sunnyvale\, California\, from 2006 to 2016. He is co-author of 
 the best-seller Modern Information Retrieval textbook published by Addison
 -Wesley in 1999 and 2011 (2nd ed)\, that won the ASIST 2012 Book of the Ye
 ar award. From 2002 to 2004 he was elected to the Board of Governors of th
 e IEEE Computer Society and between 2012 and 2016 was elected for the ACM 
 Council. In 2009 he was named ACM Fellow and in 2011 IEEE Fellow\, among o
 ther awards and distinctions. He obtained a Ph.D. in CS from the Universit
 y of Waterloo\, Canada\, in 1989\, and his areas of expertise are web sear
 ch and data mining\, information retrieval\, bias on AI\, data science and
  algorithms in general.The seminar will also be streamed at the following 
 zoom link: https://uniroma1.zoom.us/j/87680055697?pwd=L2hVbmdmU1owNTdCUWFO
 TTRvcUJTUT09Meeting ID: 876 8005 5697Passcode: 224359 
DTSTART;TZID=Europe/Paris:20240129T100000
DTEND;TZID=Europe/Paris:20240129T100000
LAST-MODIFIED:20240122T175100Z
LOCATION:Aula Magna DIAG
SUMMARY:Responsible AI - Ricardo Baeza-Yates\, Institute for Experiential A
 I @ Northeastern University
URL;TYPE=URI:https://www.diag.uniroma1.it/node/27625
END:VEVENT
END:VCALENDAR
