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DTSTART;TZID=America/Toronto:20200625T160000
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URL:/statistics-and-actuarial-science/events/department
 -seminar-guillaume-saint-jacques-linkedin
SUMMARY:Department seminar by Guillaume Saint-Jacques\, Linkedin
CLASS:PUBLIC
DESCRIPTION:Summary \n\nFAIRNESS THROUGH EXPERIMENTATION: INEQUALITY IN A/B
  TESTING AS AN\nAPPROACH TO RESPONSIBLE DESIGN\n\n------------------------
 -\n\nAs technology continues to advance\, there is increasing concern abou
 t\nindividuals being left behind. Many businesses are striving to adopt\nr
 esponsible design practices and avoid any unintended consequences of\nthei
 r products and services\, ranging from privacy vulnerabilities to\nalgorit
 hmic bias. We propose a novel approach to fairness and\ninclusiveness base
 d on experimentation. We use experimentation because\nwe want to assess no
 t only the intrinsic properties of products and\nalgorithms but also their
  impact on people. We do this by introducing\nan inequality approach to A/
 B testing\, leveraging the Atkinson index\nfrom the economics literature. 
 We show how to perform causal inference\nover this inequality measure. We 
 also introduce the concept of\nsite-wide inequality impact\, which capture
 s the inclusiveness impact\nof targeting specific subpopulations for exper
 iments\, and show how to\nconduct statistical inference on this impact. We
  provide real examples\nfrom LinkedIn\, as well as an open-source\, highly
  scalable\nimplementation of the computation of the Atkinson index and its
 \nvariance in Spark/Scala. We also provide over a year's worth of\nlearnin
 gs -- gathered by deploying our method at scale and analyzing\nthousands o
 f experiments -- on which areas and which kinds of product\ninnovations se
 em to inherently foster fairness through inclusiveness.\n\nPLEASE NOTE: T
 his seminar will be given online through Webex. To\njoin\, please follow
  this link: VIRTUAL SEMINAR BY GUILLAUME\nSAINT-JACQUES.\n[https://uwater
 loo.webex.com/mw3300/mywebex/default.do?nomenu=true&siteurl=uwaterloo&serv
 ice=6&rnd=0.9751921256439015&main_url=https%3A%2F%2Fuwaterloo.webex.com%2F
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 n 
DTSTAMP:20250519T062454Z
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