diff --git a/img/Audit_SC.png b/img/Audit_SC.png new file mode 100644 index 0000000..85c5a36 Binary files /dev/null and b/img/Audit_SC.png differ diff --git a/tex/lecture_7.pdf b/tex/lecture_7.pdf index 64b98c3..57a7824 100644 Binary files a/tex/lecture_7.pdf and b/tex/lecture_7.pdf differ diff --git a/tex/lecture_7.tex b/tex/lecture_7.tex index c2b673c..3e628a0 100644 --- 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 + + + %------------------------------------------------------------------------------- + \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}