Merge pull request #247 from NGO-Algorithm-Audit/feature/structural_edits

New explained AIAIT + team update

Author: jfparie

content/english/about/teams.md

@@ -37,7 +37,7 @@ about_AA:
         [Support](/knowledge-platform/project-work/) for specific questions from public and private sector
         organisations regarding responsible use of AI
 team:
-  title: Synthetic data generation team
+  title: Team synthetic data generation
   content: Part-time team working on synthetic data generation
   icon: fas fa-search
   button_text: Use tool
@@ -60,7 +60,7 @@ team:
       bio: |
         Freelance software developer
 team1:
-  title: Bias detection tool team
+  title: Team unsupervised bias detection tool
   content: Part-time team working on unsupervised the bias detection tool
   icon: fas fa-search
   button_text: Use the tool
@@ -100,8 +100,12 @@ team2:
       name: Ylja Remmits
       bio: |
         Head of Projects 
+    - image: /images/people/JVerbeek.jpeg
+      name: Jet Verbeek
+      bio: |
+        Intern/work student
 team3:
-  title: AI Act standards team
+  title: Team AI Act standards
   content: Part-time team working on AI Act standards
   icon: fas fa-search
   button_text: More about standards

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

@@ -81,7 +81,11 @@ Considerations and choices made during development of the questionnaires regardi
 
 {{< container_open icon="fas fa-chalkboard-teacher" title="Explainers" id="explainers" >}}
 
-Through examples the slides decks explain the intricacies of the AI system definition.
+We simplify the complex concepts of the AI Act by explaining them with clear, relatable examples.
+
+### Risk classification
+
+{{< embed_pdf url="/pdf-files/technical-tools/AIA-Implementation-Tool/20250512 AI risk identification Algorithm Audit.pdf" width_mobile_pdf="12" width_desktop_pdf="6" >}}
 
 ### 10 examples of (non) AI systems
 

content/nederlands/about/teams.md

@@ -42,7 +42,7 @@ about_AA:
         [Ondersteuning](/nl/knowledge-platform/project-work/) bij specifieke vragen vanuit de publieke en private sector
         over de verantwoorde inzet van algoritmes.
 team:
-  title: Synthetic data generatie team
+  title: Team synthetische data generatie
   content: Team dat part-time werkt aan synthetische data generatie tool
   icon: fas fa-search
   button_text: Gebruik de tool
@@ -65,7 +65,7 @@ team:
       bio: |
         Freelance software developer
 team1:
-  title: Bias detectie tool team
+  title: Team unsupervised bias detectie
   content: Team dat part-time werkt aan de unsupervised bias detectie tool
   icon: fas fa-search
   button_text: Gebruik de tool
@@ -105,8 +105,12 @@ team2:
       name: Ylja Remmits
       bio: |
         Head of Projects
+    - image: /images/people/JVerbeek.jpeg
+      name: Jet Verbeek
+      bio: |
+        Stagiair/werkstudent
 team3:
-  title: AI-verordening standaarden team
+  title: Team AI-verordening standaarden
   content: Team dat part-time werk aan AI-verordening standaarden
   icon: fas fa-search
   button_text: Meer over standaarden
@@ -125,7 +129,7 @@ quick_navigation:
   links:
     - title: Kernactiviteiten
       url: '#about'
-    - title: Uitvoerend team
+    - title: Coördinerend team
       url: '#executive-team'
     - title: Team unsupervised bias detectie
       url: '#team-BDT'

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

@@ -80,7 +80,11 @@ Overwegingen en keuzes die zijn gemaakt tijdens het opstellen van de vragenlijst
 
 {{< container_open icon="fas fa-chalkboard-teacher" title="Voorbeelden" id="explainers" >}}
 
-Aan de hand van voorbeelden lichten de volgende drie explainers de reikwijdte van de AI-systeem definitie toe.
+Aan de hand van voorbeelden lichten we belangrijke concepten uit de AI-verordening in begrijpelijke taal toe.
+
+### Risicoclassificatie
+
+{{< embed_pdf url="/pdf-files/technical-tools/AIA-Implementation-Tool/20250512 AI risk identification Algorithm Audit.pdf" width_mobile_pdf="12" width_desktop_pdf="6" >}}
 
 ### 10 voorbeelden van (geen) AI-systemen