Create sublanding page for /algoprudence/

Author: Erik2609

config/_default/menus.NL.toml

@@ -8,7 +8,7 @@ weight = 1
 name = "Algoprudentie"
 weight = 2
 hasChildren = true
-url = "/nl/algoprudence"
+url = "/nl/algoprudence/case-repository"
   [[main]]
   parent = "Algoprudentie"
   name = "Dien een case in"
@@ -19,7 +19,7 @@ url = "/nl/algoprudence"
   [[main]]
   parent = "Algoprudentie"
   name = "Casuïstiek"
-  url = "nl/algoprudence"
+  url = "nl/algoprudence/case-repository"
   weight = 2
   [[main.params]]
     icon = "fa-database"

config/_default/menus.en.toml

@@ -53,7 +53,7 @@ hasChildren = true
   [[main]]
   parent = "Algoprudence"
   name = "Case repository"
-  url = "/algoprudence"
+  url = "/algoprudence/case-repository"
   weight = 1
   [[main.params]]
     icon = "fa-database"

content/english/algoprudence/_index.md

@@ -1,280 +1,35 @@
 ---
-title: Algoprudence repository
-subtitle: "Stakeholders learn from our\_techno-ethical jurisprudence, can help to improve it and can use it as to resolve ethical issues in a harmonized manner.\n\nWe are open to new cases. Please <span style=\"color:#005aa7\">[submit</span>](/algoprudence/submit-a-case/) a case for review.\n\nOr read our <span style=\"color:#005aa7\">[white paper</span>](/knowledge-platform/knowledge-base/white_paper_algoprudence/) on algoprudence.\n"
-image: /images/svg-illustrations/case_repository.svg
-team:
-  title: Algoprudence team
-  team_members:
-    - image: /images/people/JFP.svg
-      name: Jurriaan
-      bio: |
-        test
-facet_groups:
-  - value: year
-    title: Year
-    facets:
-      - value: '2024'
-        label: '2024'
-      - value: '2023'
-        label: '2023'
-      - value: '2022'
-        label: '2022'
-  - value: type_of_audit
-    title: Type of audit
-    facets:
-      - value: technical
-        label: Technical audit
-      - value: normative
-        label: Normative review
-  - value: type_of_algorithm
-    title: Type of algorithm
-    facets:
-      - value: profiling
-        label: Profiling
-      - value: rule_based
-        label: Rule-based
-      - value: ml
-        label: Machine learning (ML)
-      - value: bias_detection_tool
-        label: Bias detection tool
-      - value: high_risk_AI
-        label: High-risk AI system
-  - value: ethical_issue
-    title: Ethical issue
-    facets:
-      - value: proxy
-        label: Proxy discrimination
-      - value: fp_fn_balancing
-        label: FP-FN balancing
-  - value: standard
-    title: Harmonized standard
-    facets:
-      - value: risk_management
-        label: Risk management
-      - value: governance_data_quality
-        label: Governance & data quality
-      - value: record_keeping
-        label: Record keeping
-      - value: transparency_provisions
-        label: Transparency provisions
-      - value: human_oversight
-        label: Human oversight
-      - value: accuracy_specifications
-        label: Accuracy specifications
-      - value: robustness_specifications
-        label: Robustness specifications
-      - value: quality_management_system
-        label: Quality management system
-  - value: owner
-    title: Algorithm owned by
-    facets:
-      - value: public
-        label: Public organisation
-      - value: private
-        label: Private organisation
-      - value: self
-        label: Algorithm Audit
-title_content: Case repository
-algoprudences:
-  - title: Addendum Preventing prejudice
-    intro: >-
-      Further research into CUB process of Education Executive Agency of The
-      Netherlands (DUO)  by analysing aggregation statistics on the country of
-      birth and country of origin of 300.000+  students in the period 2014-2022
-      provided by the Dutch national office of statistics
-    image: /images/algoprudence/AA202402/AA202402_cover.png
-    link: /algoprudence/cases/aa202402_preventing-prejudice_addendum/
-    facets:
-      - value: AA202402
-        label: 'TA:AA:2024:02'
-      - value: year_2024
-        label: '2024'
-        hide: true
-      - value: type_of_audit_technical
-        label: technical audit
-      - value: type_of_algorithm_rule_based
-        label: rule-based
-      - value: type_of_algorithm_profiling
-        label: profiling
-      - value: ethical_issue_proxy
-        label: proxy discrimination
-      - value: owner_public
-        label: public organisation
-      - value: standard_risk_management
-        label: risk mmanagement
-        hide: true
-      - value: standard_governance_data_quality
-        label: governance & data quality
-        hide: true
-      - value: standard_transparency_provisions
-        label: transparancy provisions
-        hide: true
-      - value: standard_human_oversight
-        label: human oversight
-        hide: true
-      - value: standard_quality_management_system
-        label: quality management
-        hide: true
-  - title: Preventing prejudice
-    intro: >-
-      Disparities have been identified in the control process of a Dutch public
-      sector organisation regarding misuse of college allowances. In the period
-      2012-2022, students who lived close to their parent(s) were significantly
-      more often selected for a control procedure than others. The algorithm
-      used to support the selection performed as expected.
-    image: /images/algoprudence/AA202401/Cover_EN.png
-    link: /algoprudence/cases/aa202401_preventing-prejudice/
-    facets:
-      - value: algoprudence
-        label: 'TA:AA:2024:01'
-      - value: year_2024
-        label: '2024'
-        hide: true
-      - value: type_of_audit_technical
-        label: technical audit
-      - value: type_of_algorithm_rule_based
-        label: rule-based
-      - value: type_of_algorithm_profiling
-        label: profiling
-      - value: ethical_issue_proxy
-        label: proxy discrimination
-      - value: owner_public
-        label: public organisation
-      - value: standard_risk_management
-        label: risk management
-        hide: true
-      - value: standard_governance_data_quality
-        label: governance & data quality
-        hide: true
-      - value: standard_transparency_provisions
-        label: transparency provisions
-        hide: true
-      - value: standard_human_oversight
-        label: human oversight
-        hide: true
-      - value: standard_quality_management_system
-        label: quality management system
-        hide: true
-  - title: Risk Profiling for Social Welfare Reexamination
-    intro: >-
-      The commission judges that algorithmic risk profiling can be used under
-      strict conditions for sampling residents receiving social welfare for
-      re-examination. The aim of re-examination is a leading factor in judging
-      profiling criteria.
-    image: /images/algoprudence/AA202302/AA202302A_cover_EN.png
-    link: >-
-      /algoprudence/cases/aa202302_risk-profiling-for-social-welfare-reexamination/
-    facets:
-      - value: aa202302
-        label: 'ALGO:AA:2023:02'
-      - value: year_2023
-        label: '2023'
-        hide: true
-      - value: type_of_audit_normative
-        label: normative review
-      - value: type_of_algorithm_profiling
-        label: profiling
-      - value: type_of_algorithm_ml
-        label: ML
-      - value: type_of_algorithm_high_risk_AI
-        label: high-risk AI
-      - value: ethical_issue_proxy
-        label: proxy discrimination
-      - value: owner_public
-        label: public organisation
-      - value: standard_risk_management
-        label: risk management
-        hide: true
-      - value: standard_record_keeping
-        label: record keeping
-        hide: true
-      - value: standard_transparency_provisions
-        label: transparency provisions
-        hide: true
-      - value: standard_human_oversight
-        label: human oversight
-        hide: true
-      - value: standard_accuracy_specification
-        label: accuracy specification
-        hide: true
-      - value: standard_robustness_specifications
-        label: robustness specifications
-        hide: true
-      - value: standard_quality_management_system
-        label: quality management system
-        hide: true
-  - title: BERT-based disinformation classifier
-    intro: >-
-      The audit commission believes there is a low risk of (higher-dimensional)
-      proxy discrimination by the BERT-based disinformation classifier and that
-      the particular difference in treatment identified by the quantitative bias
-      scan can be justified, if certain conditions apply.
-    image: /images/algoprudence/AA202301/Cover.png
-    link: /algoprudence/cases/aa202301_bert-based-disinformation-classifier
-    facets:
-      - value: aa_2023_01
-        label: 'ALGO:AA:2023:01'
-      - value: year_2023
-        label: '2023'
-        hide: true
-      - value: type_of_audit_normative
-        label: normative review
-      - value: type_of_algorithm_bias_detection_tool
-        label: bias detection tool
-      - value: type_of_algorithm_ml
-        label: ML
-      - value: type_of_algorithm_high_risk_AI
-        label: high-risk AI
-      - value: ethical_issue_fp_fn_balancing
-        label: FP-FN balancing
-      - value: owner_self
-        label: Algorithm Audit
-      - value: disinformation
-        label: disinformation
-      - value: standard_risk_management
-        label: risk management
-        hide: true
-      - value: standard_accuracy_specifications
-        label: accuracy specifications
-        hide: true
-      - value: standard_quality_management_system
-        label: quality management system
-        hide: true
-  - title: Type of SIM card as a predictor variable to detect payment fraud
-    intro: >-
-      The audit commission advises against using type of SIM card as an input
-      variable in algorithmic models that predict payment defaults and block
-      afterpay services for specific customers. As it is likely that type of SIM
-      card acts as a proxy-variable for sensitive demographic categories, the
-      model would run an intolerable risk of disproportionally excluding
-      vulnerable demographic groups from the payment service.
-    image: /images/algoprudence/AA202201/Cover.png
-    link: /algoprudence/cases/aa202201_type-of-sim
-    facets:
-      - value: AA-2022-01
-        label: 'ALGO:AA:2022:01'
-      - value: year_2022
-        label: '2022'
-        hide: true
-      - value: type_of_audit_normative
-        label: normative review
-      - value: type_of_algorithm_profiling
-        label: profiling
-      - value: ethical_issue_proxy
-        label: proxy discrimination
-      - value: owner_private
-        label: private organisation
-      - value: e-commerce
-        label: e-commerce
-      - value: standard_risk_management
-        label: risk management
-        hide: true
-      - value: standard_governance_data_quality
-        label: governance & data quality
-        hide: true
-      - value: standard_transparency_provisions
-        label: transparency provisions
-        hide: true
-layout: repository
+layout: sublandingpage
+title: Knowledge platform
+titleline2: Statistical and legal expertise
+subtitle: >
+  We bring together expertise from various fields to build public, including statistics, ethics
+  and law, to build public knowledge on responsible AI. We document our work in
+  a knowledge base. For key themes we build thematic resources, such as AI Act
+  standards and non-profit project work.
+icon: fa-layer-group
+color: '#2559A2'
+subpage_links:
+  - title: Knowledge base
+    titleline2: >-
+      Collection of our public standards, white papers, op-eds, readworthy
+      articles and more, including search functionalities
+    icon: fa-brain
+    color: '#FFF'
+  - title: AI Act standards
+    titleline2: >-
+      Public knowledge on harmonized standards developed for AI Act compliance by CEN-CENELEC
+    icon: fa-check
+    color: '#FFF'
+  - title: AI policy observatory
+    titleline2: >-
+      Overiew of policy initiatives to regulate AI, including AI Act, GDPR, DSA, national administrative law etc.
+    icon: fa-binoculars
+    color: '#FFF'
+  - title: Project work
+    titleline2: >-
+      Collection of our public AI Standards, white papers, op-eds and readworthy
+      articles, including search functionalities
+    icon: fa-hands-helping
+    color: '#FFF'
 ---
-