Navigation bar EN NL

Author: jfparie

content/english/technical-tools/implementation-tool.md

@@ -13,10 +13,22 @@ subtitle: >
   [[email protected]](mailto:[email protected]).
 image: /images/svg-illustrations/case_repository.svg
 quick_navigation:
-  title: Quick nav
+  title: Content overview
   links:
-    - title: Outcomes questionnaires
+    - title: Introduction
+      url: '#intro'
+    - title: Tool
+      url: '#tool'
+    - title: Outcomes tool
       url: '#outcome'
+    - title: Source code
+      url: '#source-code'
+    - title: Documentation
+      url: '#documentation-definition'
+    - title: Explainers
+      url: '#explainers'
+    - title: Flowchart
+      url: '#flowchart'    
 ---
 
 {{< container_open icon="fa-solid fa-laptop-code" title="Is my data-driven application a high-impact algorithm or AI system?" id="intro" >}}
@@ -36,7 +48,7 @@ All potential outcomes of the first questionnaire are shown in the [figure](/tec
 
 {{< iframe src="https://ai-documentation.s3.eu-central-1.amazonaws.com/index.html?lang=en" title="" id="tool" icon="" height="60vh" height_mobile="100vh" >}}
 
-{{< container_open icon="fas fa-layer-group" title="Outcomes questionnaires" id="outcome" >}}
+{{< container_open icon="fas fa-layer-group" title="Outcomes tool" id="outcome" >}}
 
 The outcomes of the first questionnaire are displayed in the below figure. The following categories are distinguished:
 
@@ -50,7 +62,7 @@ The outcomes of the first questionnaire are displayed in the below figure. The f
 
 {{< container_close >}}
 
-{{< container_open icon="fas fa-terminal" title="Development and source code" id="amsterdam" >}}
+{{< container_open icon="fas fa-terminal" title="Development and source code" id="source-code" >}}
 
 The questions in the AI Act Implementation Tool are developed in collaboration with the municipaility of Amsterdam. The source code of the tool can be found on <a href="https://github.com/NGO-Algorithm-Audit/AI-Act-Implementation-Tool" target="_blank">Github</a> and can be re-used under the <a href="https://eupl.eu/1.2/en/" target="_blank">EUPL-1.2 license</a>. <br> <br> <img src="/images/events/Amsterdam.png" alt="drawing" width="200"/>.
 

content/nederlands/technical-tools/implementation-tool.md

@@ -12,6 +12,23 @@ subtitle: >
   [Github](https://github.com/NGO-Algorithm-Audit/AlgorithmAudit_website) of via
   [[email protected]](mailto:[email protected]).
 image: /images/svg-illustrations/case_repository.svg
+quick_navigation:
+  title: Inhoudsopgave
+  links:
+    - title: Introductie
+      url: '#intro'
+    - title: Tool
+      url: '#tool'
+    - title: Uitkomsten tool
+      url: '#outcome'
+    - title: Broncode
+      url: '#source-code'
+    - title: Documentatie
+      url: '#documentation-definition'
+    - title: Voorbeelden
+      url: '#explainers'
+    - title: Flowchart
+      url: '#flowchart'  
 ---
 
 {{< container_open icon="fa-solid fa-laptop-code" title="Is mijn datagedreven toepassing een impactvol algoritme of AI-systeem?" id="intro" >}}
@@ -31,7 +48,7 @@ Alle mogelijke uitkomsten van de beslisboom zijn weergeven in het [figuur](/nl/t
 
 {{< iframe src="https://ai-documentation.s3.eu-central-1.amazonaws.com/index.html?lang=nl" title="" id="tool" icon="" height="60vh" >}}
 
-{{< container_open icon="fas fa-terminal" title="Ontwikkeling en broncode" id="amsterdam" >}}
+{{< container_open icon="fas fa-terminal" title="Ontwikkeling en broncode" id="source-code" >}}
 
 De vragen in de AI-verordening implemenatie tool zijn ontwikkeld in samenwerking met de gemeente Amsterdam. De broncode van de tool is beschikbaar in <a href="https://github.com/NGO-Algorithm-Audit/AI-Act-Implementation-Tool" target="_blank">Github</a> en kan worden (her)gebruikt onder de <a href="https://eupl.eu/1.2/nl/" target="_blank">EUPL-1.2 licentie</a>. <br> <br> <img src="/images/events/Amsterdam.png" alt="drawing" width="200"/>
 
@@ -59,7 +76,7 @@ Overwegingen en keuzes die zijn gemaakt tijdens het opstellen van de vragenlijst
 
 {{< container_close >}}
 
-{{< container_open icon="fas fa-chalkboard-teacher" title="Explainers" id="explainers" >}}
+{{< container_open icon="fas fa-chalkboard-teacher" title="Voorbeelden" id="explainers" >}}
 
 Aan de hand van voorbeelden lichten de volgende drie explainers de complexiteit van de AI-systeem definitie toe.