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IBC.log
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IBC.log
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This is LuaHBTeX, Version 1.13.0 (TeX Live 2021) (format=lualatex 2021.8.7) 24 SEP 2021 16:52
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This is LuaHBTeX, Version 1.13.0 (TeX Live 2021) (format=lualatex 2021.8.7) 29 SEP 2021 20:26
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**IBC.tex
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**IBC.tex
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(./IBC.tex
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(./IBC.tex
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IBC.tex
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IBC.tex
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\begin{frame}
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\begin{frame}
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\begin{figure}
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\begin{figure}
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\includegraphics[scale = 0.8]{iborderctrl-avatar-300x268.jpg}
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\includegraphics[scale = 0.8]{iborderctrl-avatar-300x268.jpg}
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\caption*{Quelle: iborderctrl.eu}
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\caption*{\tiny Quelle: iborderctrl.eu}
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\end{figure}
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\end{figure}
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"The avatar is presented in a uniform to convey an air of authority." (K.Crockett et.al.)
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"The avatar is presented in a uniform to convey an air of authority." (K.Crockett et.al.)
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\end{frame}
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\end{frame}
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\begin{frame}{Die Geschichte des Lügendetektors - Der Polygraph}
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\begin{frame}{Die Geschichte des Lügendetektors - Der Polygraph}
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\begin{figure}
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\begin{figure}
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\includegraphics[scale = 0.8]{Polygraph}
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\includegraphics[scale = 0.8]{Polygraph}
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\caption*{Foto: Sebastian Kahnert/ dpa}
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\caption*{\tiny Foto: Sebastian Kahnert/ dpa}
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\end{figure}
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\end{figure}
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\end{frame}
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\end{frame}
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\begin{frame}{Die Geschichte des Lügendetektors - Der Polygraph}
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\begin{frame}{Die Geschichte des Lügendetektors - Der Polygraph}
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\begin{frame}{KI, Algorithmen und maschinelles Lernen}
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\begin{frame}{KI, Algorithmen und maschinelles Lernen}
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\begin{figure}
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\begin{figure}
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\begin{center}
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\begin{center}
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\includegraphics[scale = 0.18]{Ki-Abbildung}
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\includegraphics[scale = 0.16]{Ki-Abbildung}
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\end{center}
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\end{figure}
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\end{frame}
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\begin{frame}{Overfitting}
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\begin{frame}{Overfitting}
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\begin{figure}
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\begin{figure}
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\includegraphics[scale = 0.4]{overfitting.png}
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\includegraphics[scale = 0.4]{overfitting.png}
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\caption*{Quelle: Sagar Sharma / Towards Data Science}
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\caption*{\tiny Quelle: Sagar Sharma / Towards Data Science}
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\end{figure}
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\end{figure}
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\end{frame}
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\end{frame}
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\begin{frame}{Panda oder Gibbon?}
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\begin{frame}{Panda oder Gibbon?}
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\begin{figure}
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\begin{figure}
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\includegraphics[scale = 0.55]{panda_gibbon}
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\includegraphics[scale = 0.54]{panda_gibbon}
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\caption*{Quelle: J. Goodfellow et. al. }
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\caption*{\tiny Quelle: J. Goodfellow et. al. }
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\end{figure}
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\end{figure}
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\end{frame}
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\end{frame}
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\begin{frame}
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\includegraphics[scale = 0.07]{gibbon}
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\caption*{Quelle: }
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\caption*{\tiny Quelle: }
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\end{figure}
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\end{frame}
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\end{frame}
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@ -191,8 +191,8 @@ Konsequenz: Diskriminierende Algorithmen (auch Gender Bias, Racial Bias, Neurodi
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Überlagerung von Trends in verschiedenen Untergruppe führt zu falschen Aussagen
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Überlagerung von Trends in verschiedenen Untergruppe führt zu falschen Aussagen
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\end{itemize}
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\end{itemize}
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\begin{figure}
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\begin{figure}
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\includegraphics[scale = 0.1]{AggregationBiasBeispiel}
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\includegraphics[scale = 0.19]{AggregationBiasBeispiel}
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\caption*{Quelle: Statology.org What is Aggregation Bias?}
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\caption*{\tiny Quelle: Statology.org What is Aggregation Bias?}
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\end{figure}
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\end{figure}
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\end{frame}
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\end{frame}
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\begin{frame}{Bias durch Rückkopplung}
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\begin{frame}{Bias durch Rückkopplung}
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Verstärkung der Diskriminierung durch Rückkopplungsschleife bei Predictive Policing
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Verstärkung der Diskriminierung durch Rückkopplungsschleife bei Predictive Policing
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\begin{figure}
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\begin{figure}
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\includegraphics[scale = 0.1]{Predpol}
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\includegraphics[scale = 0.23]{Predpol}
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\caption*{Quelle: Algorithmic Bias and Fairness: Crash Course AI by CrashCourse}
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\caption*{\tiny Quelle: Algorithmic Bias and Fairness: Crash Course AI by CrashCourse}
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\end{figure}
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\end{figure}
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\end{frame}
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\end{frame}
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