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-\section{Grundlagen KI (15min)} -\subsection{Algorithmen, KI und Neuronale Netze} -\begin{frame}{Algorithmen, KI und Neuronale Netze} - \begin{itemize} - \item Algorithmus - \item KI / Machine Learning - \item Neuronale Netze und Deep Learning - \end{itemize} -\end{frame} - -\begin{frame}{Aufbau der Datensätze} - \begin{itemize} - \item Supervised learning, Datenpaare - \item Training, Validation and Test Data - \end{itemize} +\section{Grundlagen KI (10min)} +\subsection{KI, Algorithmen und maschinelles Lernen} +\begin{frame}{KI, Algorithmen und maschinelles Lernen} \end{frame} \subsection{Overfitting} @@ -115,7 +103,7 @@ \end{frame} -\section{Grenzen von KI / Grenzen und Risiken von KI (20min)} +\section{Grenzen und Risiken von KI (20min)} \subsection{KI und Interpretierbarkeit} \begin{frame}{Was heißt interpretierbar?} @@ -220,7 +208,7 @@ Konsequenz: Diskriminierende Algorithmen (auch Gender Bias, Racial Bias, Neurodi \end{itemize} \end{frame} -\section{Bias Bingo mit / Bias in iBorderCtrl (20min)(interaktiv?)} +\section{Bias in iBorderCtrl (20min)} \begin{frame}{Bias in iBorderCtrl} \begin{itemize} @@ -259,9 +247,9 @@ Konsequenz: Diskriminierende Algorithmen (auch Gender Bias, Racial Bias, Neurodi \subsection{Wie und wofür forschen wir?} \begin{frame}{Wie und wofür forschen wir?} \begin{itemize} -\item Instrumentalisierung von Wissenschaft -\item Was ist mein wissenschaftlicher Standard und worauf gründet er? -\item Gibt es Ziele und Werte die nicht von der Wissenschaft vorgegeben werden, sondern die wir uns selbst setzen müssen? +\item Wissenschaft wird immer wieder instrumentalisiert +\item Wir brauchen mehr kognitive Diversität in Forschungseinrichtungen +\item Was ist dein wissenschaftlicher Standard und worauf gründet er? \end{itemize} \end{frame} \end{document} diff --git a/IBC.toc b/IBC.toc index 4412a94..48c0dc9 100644 --- a/IBC.toc +++ b/IBC.toc @@ -2,13 +2,13 @@ \beamer@subsectionintoc {1}{1}{Akteure und Organisationsstruktur}{3}{0}{1} 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