Add missing fraction

src/year2/distributed-autonomous-systems/sections/_cooperative_robotics.tex

@@ -102,7 +102,7 @@
     \begin{itemize}
         \item An estimate $\z_i^k$ of its optimal position $\z_i^*$,
         \item An estimate $\s_i^k$ of the aggregation function $\sigma(\z^k) = \frac{1}{N} \sum_{j=1}^{N} \phi_j(\z_j^k)$,
-        \item An estimate $\v_i^k$ of the gradient with respect to the second argument of the loss $\sum_{j=1}^{N} \nabla_{[\sigma(\z^k)]} l_j(\z_j^k, \sigma(\z^k))$.
+        \item An estimate $\v_i^k$ of the gradient with respect to the second argument of the loss $\frac{1}{N} \sum_{j=1}^{N} \nabla_{[\sigma(\z^k)]} l_j(\z_j^k, \sigma(\z^k))$.
     \end{itemize}
 
     The step is based on the centralized gradient method using the local estimates:

src/year2/ethics-in-ai/module2/sections/_gen_ai.tex

@@ -0,0 +1,8 @@
+\begin{remark}
+    Transformative rule: Two purposes of a work:
+    \begin{itemize}
+        \item Original of the work (e.g., creative work)
+        \item Training
+    \end{itemize}
+    It is allowed if the original and training reason is different.
+\end{remark}