BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:How Data Scientists and Social Scientists Can Work Together to
  Combat Bias in a Digital World?
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260812T085834Z
UID:tag:localist.com\,2008:EventInstance_42483831178965
DTSTART:20230330T200000Z
DTEND:20230330T210000Z
DESCRIPTION:From racial profiling through facial recognition software used 
 by law enforcement to algorithms that unfairly target Black and brown user
 s with subpar services and subprime financial practices\, biases in the wa
 y technology is developed and used are rampant and must be intercepted bef
 ore they do further damage. The Metaverse – a new combination of emergin
 g technologies including artificial intelligence (AI)\, extended reality (
 XR)\, and blockchain – will create a virtual world for various aspects o
 f human life\, from social connections to e-commerce. But will the same al
 gorithmic biases of our current technology carry over to a virtual world? 
 Drawing from his extensive research and fieldwork\, Dr. Desmond Upton Patt
 on\, Penn Integrates Knowledge University Professor at the University of P
 ennsylvania\, founder of SAFElab explains how data scientists\, designers\
 , and engineers can prevent bias in AI by collaborating with social scienc
 e professionals who can help them become more aware of the unintended harm
 s being built into technologies they develop. He also highlights the many 
 ways organizations\, developers\, users\, and society stand to benefit fro
 m such collaboration. This important presentation is geared toward organiz
 ations\, professionals\, and policymakers involved in the development and 
 regulation of emerging technologies.
GEO:42.363197;-71.127278
LOCATION:Science and Engineering Complex (SEC)\, SEC LL2.224
SUMMARY:How Data Scientists and Social Scientists Can Work Together to Comb
 at Bias in a Digital World?
URL;VALUE=URI:https://events.seas.harvard.edu/event/how_data_scientists_and
 _social_scientists_can_work_together_to_combat_bias_in_a_digital_world
CATEGORIES:Colloquia / Seminar / Lecture
END:VEVENT
END:VCALENDAR