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DTSTAMP:20260606T025440Z
SUMMARY:Zahlen lügen nicht?
DESCRIPTION:Von trügerischer Objektivität und historic bias bei algorithm
 enbasiertem KreditscoringKatja Langenbucher (Goethe University\, Professor
  of Civil Law\, Commercial&nbsp\;Law and Banking Law)Algorithms – and th
 e actors behind them – are surveying and impacting ever more dimensions 
 of our modern lives. They recommend which movies to watch\; they calculate
  risk-appropriate credit scores\; and they play a role in meting out “ju
 st” punishment\; to only name a few areas. At the same time\, they corre
 ct imperfect human decisions and add new informational dimensions to decis
 ions prior&nbsp\;impossible. To assess and evaluate the impeding transform
 ations of normative orders in a predictive society\, we approach algorithm
 s in light of the juxtaposition of trust and control. Why and under which 
 conditions do – or don’t – we trust algorithms? Indeed\, can and sho
 uld we trust them? Especially because their algorithmic normativity was (n
 ot) produced in justificatory fora where trust is brought about in and thr
 ough social conflicts? But then\, how much trust – if any – should alg
 orithms put into us as citizens? For example\, do they have to presume us 
 non-dangerous and harmless? Vice versa\, how much control do we need to re
 tain over algorithms? And how much control should they exert over us? Can 
 we use algorithms to control the effect of algorithms and thus create a me
 ta-level of trust? Especially in order to negate\, or as a matter of fact:
  to entertain\, the freedom to deviate in the algorithmic society? These a
 re but a few of the questions that internationally renowned speakers raise
  in “Algorithms between Trust and Control”\, a lecture series convened
  by Indra Spiecker gen. Döhmann and Christoph Burchard\, and co-organized
  by the research clusters ConTrust\, Normative Orders and ZEVEDI in the li
 ne with the Frankfurt Talks on Information Law and under the auspices of G
 oethe University Frankfurt am Main.The lectures will take place via Zoom. 
 Please register to receive the login data.
DTSTART;TZID=Europe/Berlin:20210527T180000
DTEND;TZID=Europe/Berlin:20210527T193000
LOCATION:Max-Horkheimer-Str. 2 \, Frankfurt am Main (Deutschland) 
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