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(1SSGIr&&XTy!819m6L!C1(psQx8jWdPxBe5C!6dFy5&<+th*2~ru9uBjwbs|z6!=61S%UnU8v!|M)L*LjmzrL!2 z&x9B=ABv7igmvI=Bh3G>&Fg&G_28ZF-Uwgl?nj_kGR=?Y?IQd6ksK0p;HF_m&gZDN z>~^RlSQF|dYVe9DK13%P{5RiXC`^;|QCButQWh#tArhMp4pKIPOE!w!LXqa_3gFV(7p+84M0i2-qn4H++Ro2?RSlx8Q4<^<1eHlD_ zE;iQ6`bJIXk!SsS<$xdE0^^t zT`@9d+*_m6FEBq=o0j)+o76&yTk3XD-Y~VV34ds=iG@a$F{kb(`oZ7jPFa7`^nMyP ztvUAGY1rhpD!;zWcD84mSBAnxo>COYLk%x~$*n}WQSS&&j8r8Qw}qy8u3?@S@Y--su=F{J8BUSi2Vjap=Lu?J6ThmI zGVIixX4%|ddQFh5SGr4;vm*=8rrL*}Sk2}6#vKu!{x44H!-$_!kXv53!O yQBZuS5vtUAXp037!a;}c(7tL@X8#$AdAM1cI%X*bRO2IZ@_(YCky4TV^nU=QjYG`< diff --git a/tex/lecture_7.tex b/tex/lecture_7.tex index 6801509..c2b673c 100644 --- a/tex/lecture_7.tex +++ b/tex/lecture_7.tex @@ -11,7 +11,7 @@ \setbeamertemplate{headline}{} \setbeamertemplate{navigation symbols}{} -% nagivation symbol +% navigation symbol %\usenavigationsymbolstemplate{} \usepackage[utf8]{inputenc} @@ -101,7 +101,7 @@ \item \textbf{Language model}: An approximative description that captures patterns and regularities present in natural language and is used for making assumptions on previously unseen language fragments. (\cite{atherton2023language}) - \item \textbf{Read-teaming}: Red-teaming: A role-playing exercise in which a problem is examined from an adversary’s or enemy’s perspective.* (\cite{atherton2023language}) + \item \textbf{Red-teaming}: A role-playing exercise in which a problem is examined from an adversary’s or enemy’s perspective.* (\cite{atherton2023language}) \item \textbf{Risk}: Composite measure of an event’s probability of occurring and the magnitude or degree of the consequences of the corresponding event. The impacts, or consequences, of AI systems can be positive, negative, or both and can result in opportunities or threats. (\cite{atherton2023language}) @@ -140,9 +140,9 @@ \column{0.5\linewidth} \vspace{-5pt} \begin{itemize} - \item Nist AI Risk Managment Framework + \item NIST AI Risk Management Framework \item EU AI Act Conformity - \item Data pricacy laws or policies + \item Data privacy laws or policies \item Nondiscrimination laws \end{itemize} \end{columns} @@ -167,12 +167,12 @@ \item Language models are hacked and abused. \item Acknowledge human biases: \begin{itemize} - \item confirmation bias + \item Confirmation bias \item Dunning-Kruger effect \item Funding bias \item Groupthink - \item McNamara Fallacy - \item Techno-chauvanism + \item McNamara fallacy + \item Techno-chauvinism \end{itemize} \item Stay humble - incidents can happen to \textcolor{red}{anyone}. \end{itemize} @@ -200,7 +200,7 @@ %------------------------------------------------------------------------------- - \section{Enumerate Harm and Priortize Risks} + \section{Enumerate Harm and Prioritize Risks} %------------------------------------------------------------------------------- \begin{frame} @@ -288,12 +288,12 @@ %------------------------------------------------------------------------------- - \section{Apply Benchmark} + \section{Apply Benchmarks} %------------------------------------------------------------------------------- \begin{frame} - \frametitle{Apply Benchmark} + \frametitle{Apply Benchmarks} \framesubtitle{Public resources for systematic, quantitative testing} \begin{columns} @@ -498,7 +498,7 @@ \end{itemize} \item Chaos testing: \begin{itemize} - \item Break things; observe what happens + \item Break things; observe what happens. \end{itemize} \item Monitor: \begin{itemize} @@ -607,7 +607,7 @@ %------------------------------------------------------------------------------- -\section{Acknowledgements} +\section{Acknowledgments} %------------------------------------------------------------------------------- \begin{frame}