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This is LuaHBTeX, Version 1.13.0 (TeX Live 2021)  (format=lualatex 2021.8.7)  12 AUG 2021 11:58
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This is LuaHBTeX, Version 1.13.0 (TeX Live 2021)  (format=lualatex 2021.8.7)  19 AUG 2021 00:49
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 restricted system commands enabled.
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**IBC.tex
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(./IBC.tex
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			@ -1040,20 +1040,23 @@ LaTeX Font Info:    Font shape `TU/lmtt/bx/n' in size <10> not available
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<Ergebnis_ibc.png, id=216, 547.04375pt x 492.84125pt>
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File: Ergebnis_ibc.png Graphic file (type png)
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Package luatex.def Info: Ergebnis_ibc.png  used on input line 190.
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			@ -1077,7 +1080,7 @@ Here is how much of LuaTeX's memory you used:
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   38 hlist, 7 vlist, 2 rule, 6 local_par, 111 glue, 10 kern, 27 penalty, 302 gl
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yph, 79 attribute, 61 glue_spec, 79 attribute_list, 4 write, 32 pdf_colorstack n
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   avail lists: 2:284,3:148,4:250,5:64,6:61,7:2642,8:50,9:246,10:12,11:6
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			@ -1086,7 +1089,7 @@ odes
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f></usr/local/texlive/2021/texmf-dist/fonts/opentype/public/lm/lmmonolt10-bold.o
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tf></usr/local/texlive/2021/texmf-dist/fonts/opentype/public/lm/lmmono10-regular
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.otf>
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Output written on IBC.pdf (20 pages, 124882 bytes).
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Output written on IBC.pdf (20 pages, 125391 bytes).
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PDF statistics: 270 PDF objects out of 1000 (max. 8388607)
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 222 compressed objects within 3 object streams
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			@ -164,18 +164,20 @@ Beispiel  (Profiling?)
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\end{itemize}
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\end{frame}
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\section{Bias Bingo mit / Bias in iBorderCtrl (20min)(interaktiv?)}
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\begin{frame}{Bias in iBorderCtrl}
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\begin{itemize}
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\item Measurement Bias: Wie wird entschieden ob jemand gelogen hat o.Ä.?
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\item Measurement Bias: Schauspieler*innen statt echte Situationen
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\item Omitted Variable Bias: Nervosität durch Stress beim Grenzübergang
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\item Representation Bias: fehlende Diversität race, gender, neurdiversity, disability, health, scars
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\item Aggregation Bias: s. representation bias, teilweiser Versuch der Gegensteuerung
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\item Sampling Bias: ungleiche Datenmengen
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\item Overfitting
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\item ...
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\item Overfitting: 73 Prozent in Testdaten vs 93 Prozent in Trainingsdaten, das impliziert Overfitting ist wahrscheinlich 
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\item Historical Bias: höhere Wahrscheinlichkeit zB des Drogenschmuggels bestimmter Gruppen (trifft erst bei Benutzung zu, weil Testdaten zu klein)
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\item Algorythmischer Bias: zu wenig Einblick
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\item Evaluations Bias: Testbedingungen entsprechen nicht den Einsatzbedingungen, zB Licht, Diversität
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\item Bias durch Rückkopplung: 
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\end{itemize}
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\end{frame}
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