add supply chain to lecture 7

jphall663 · Jun 27, 2023 · b8d86b5 · b8d86b5
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diff --git a/img/Audit_SC.png b/img/Audit_SC.png
diff --git a/tex/lecture_7.pdf b/tex/lecture_7.pdf
diff --git a/tex/lecture_7.tex b/tex/lecture_7.tex
@@ -116,6 +116,47 @@
 		\end{frame}
 
 
+% INSERT NEW SLIDE HERE WITH SECTION AUDIT SUPPLY CHAIN <AI TAKE A OF (HUMAN) WORK>
+
+
+	%-------------------------------------------------------------------------------
+	\section{Auidt Supply Chains}
+	%-------------------------------------------------------------------------------
+
+\begin{frame}
+
+	\frametitle{Audit Supply Chains}
+	\framesubtitle{AI takes a lot of (human) work}
+
+	\begin{columns}
+
+	\column{0.5\linewidth}
+		Consider:
+		\begin{itemize}
+			\item Data poisoning and malware.
+			\item Ethical labor practices.
+			\item Localization and data privacy compliance. 
+			\item Geopolitical stability. 
+			\item Software and hardware vulnerabilities.
+			\item Third-party vendors. 
+		\end{itemize}
+
+	\column{0.5\linewidth}
+		\centering
+		\includegraphics[height=110pt]{../img/Audit_SC.png}\\
+
+		\scriptsize{\tiny{Cover art for the recent NY Magazine article, \textit{AI Is A Lot Of Work: As the technology becomes ubiquitous, a vast tasker underclass is emerging — and not going anywhere.}}}
+		\par\noindent\rule{100pt}{0.4pt}\\
+		%\vspace{5pt}
+
+	\end{columns}
+
+	\noindent\scriptsize{Image source: \url{https://nymag.com/intelligencer/article/ai-artificial-intelligence-humans-technology-business-factory.html}}
+
+
+\end{frame}
+
+
 
 	%-------------------------------------------------------------------------------
 	\section{Select a Standard}
@@ -127,7 +168,6 @@
 				\framesubtitle{Audits Assess Adherence to a Standard}		
 
 				\begin{columns}
-
 					\column{0.5\linewidth}
 					\centering
 					\includegraphics[height=120pt]{../img/NIST_RMF_img1.png}\\
@@ -281,7 +321,7 @@
 			\end{table}
 
 			\centering
-			\scriptsize{Source: "DQI: Measuring data quality in NLP,”  \\  \url{https://arxiv.org/pdf/2005.00816.pdf}. (\cite{mishra2020dqi})}
+			\scriptsize{Source: "DQI: Measuring Data Quality in NLP,”  \\  \url{https://arxiv.org/pdf/2005.00816.pdf}. (\cite{mishra2020dqi})}
 
 
 		\end{frame}
@@ -535,7 +575,7 @@
 				\end{itemize}
 				\noindent Provide incentives for the best feedback!\\
 				\vspace{5pt}
-				\tiny{Various sources, e.g., \cite{schwartz2022towards}.}
+				\scriptsize{Various sources, e.g., \cite{schwartz2022towards}.}
 
 
 
@@ -557,7 +597,7 @@
 		\begin{frame}
 
 			\frametitle{Mitigate Risks}
-			\framesubtitle{Now what?}
+			\framesubtitle{Now What??}
 
 			\begin{columns}
 
@@ -599,7 +639,9 @@
 						\item Undisclosed data collection
 					\end{itemize}
 					\vspace{5pt}
-					\tiny{Various sources, e.g.,\\ \cite{weidinger2022taxonomy}.}
+					\scriptsize{Various sources, e.g.,\\ \cite{weidinger2022taxonomy}.}
+
+
 
 			\end{columns}