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DTSTAMP:20260406T104413Z
SUMMARY:Ethics and Accountability of Algorithmic Decision Making Systems
DESCRIPTION:The new 'sexiest job on earth' according to former Google-CEO S
 chmidt is the "Data Scientist". As data scientists we are entitled to craw
 l through data\, finding patterns that can predict the future. Our tool se
 t is huge and increases every day\, foremost by methods from machine learn
 ing. In many cases\, the question to be solved by our learning systems are
  clear cut and so is the quality measure by which we can evaluate whether 
 the systems are good enough to be applied. However\, neither is the case w
 hen we build systems to predict future human behavior or to classify curre
 nt human behavior. For this\, 1) intricate social concepts have to be quan
 tified ("operationalization")\, 2) it is often unclear how to define a "go
 od decision"\, and 3) it is hard to observe whether the system embedded in
  a social system will actually improve the latter or not. While these prob
 lems are often discussed under the term "ethics of algorithms"\, I will ar
 gue that a large part of it is actually a question of accountability. As a
  community of computer and data scientists\, we will have to make sure tha
 t we only decide on those parts of these systems for which we are trained 
 - and include the expertise of psychologists\, sociologists\, lawyers\, an
 d politicians where this is not the case. I will show a framework that hel
 ps to sort these two aspects and to thus avoid mistakes in building learni
 ng algorithmic decision making systems. Referentin: Prof. Dr. Katharina Zw
 eig\, TU Kaiserslautern
DTSTART;TZID=Europe/Berlin:20190116T181500
DTEND;TZID=Europe/Berlin:20190116T194500
LOCATION:Im Neuenheimer Feld 205 \, Heidelberg (Deutschland) 
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