Merge pull request #287 from NGO-Algorithm-Audit/feature/structural_edits

Feature/structural edits

Author: jfparie

assets/scss/_landingpage.scss

@@ -450,4 +450,13 @@
 
 .sublandingpage-banner-padding-bottom {
     padding-bottom: 7rem;
+}
+
+.collaberating_logo {
+    max-width: 300px;
+    max-height: 140px;
+    @media (max-width: 992px) {
+        max-width: 200px;
+        max-height: 94px;
+    }
 }

assets/scss/templates/_main.scss

@@ -108,6 +108,17 @@ input[type="checkbox"] {
   }
 }
 
+.img-center {
+  width: auto;
+  height: auto;
+  position: absolute;
+  top: 0;
+  bottom: 0;
+  left: 0;
+  right: 0;
+  margin: auto;
+}
+
 .img-event{
   max-height: 140px;
   @media (max-width: 992px) {

content/english/_index.md

@@ -8,11 +8,6 @@ Banner:
   title_mobile_line2: knowledge for
   title_mobile_line3_underline: responsible
   title_mobile_line3_after: algorithms
-  phonetica: /æl.ɡə-ˈpruː.dəns/
-  type: noun
-  description1: Case-based normative advice for ethical algorithms
-  description2: Guidance for decentralised self-assessment of fair AI
-  description3: Jurisprudence for algorithms
   slogan:
     title: A European knowledge platform for
     labels:
@@ -30,49 +25,45 @@ About:
 overview_block:
   activities:
     - title: Knowledge platform
-      subtitle: Statistical and legal expertise
+      subtitle: Expertise in statistics, software development, legal framework and ethics
       url: /knowledge-platform/
       icon: fa-light fa-layer-group
       color: "#E3F0FE"
     - title: Algoprudence
-      subtitle: Case-based normative advice
+      subtitle: Case-based normative advice about responsible AI
       url: /algoprudence/
       icon: fa-light fa-scale-balanced
       color: "#F7CDBF"
     - title: Technical tools
-      subtitle: Open source AI auditing tools
+      subtitle: Open source tools for validating algorithmic systems
       url: /technical-tools/
       icon: fa-light fa-toolbox
       color: "#FFFDE4"
     - title: Project work
-      subtitle: "Validation, AI Act etc."
+      subtitle: Validation, AI Act implementation, organisational control measures etc. 
       url: /knowledge-platform/project-work/
       icon: fa-light fa-magnifying-glass-plus
       color: "#E3F0FE"
 Activity_Feed:
   featured_title: Featured
   featured_activities:
     - title: >-
-        Public standard 'Meaningful human intervention for risk profiling
-        algorithms'
+        Local-only tools for AI validation
       intro: >
-        Step-by-step guide to prevent prohibited automated decision-making
-        solely based on profilings, as stated in Article 22 GDPR. Based on
-        case-based experiences with risk profiling algorithms and aligned with
-        recent literature.
+        Slides explaining the concept of 'local-only' tools. Highlighting similarities and differences with cloud computing, including examples how Algorithm Audit's open source software can be used for unsupervised bias detection and synthetic data generation tool.
       link: >-
-        /knowledge-platform/knowledge-base/public_standard_meaningful_human_intervention/
-      image: /images/knowledge_base/Public_standard_meaningful_human_intervention.png
-      date: 15-05-2025
-      type: public standard
+        /technical-tools/bdt/#local-only
+      image: /images/BDT/20250605_carrousel_local-only.png
+      date: 05-06-2025
+      type: open source code
     - title: >-
         Public standard 'Meaningful human intervention for risk profiling
         algorithms'
       intro: >
         Step-by-step guide to prevent prohibited automated decision-making
-        solely based on profilings, as stated in Article 22 GDPR. Based on
+        solely based on profiling, as stated in article 22 GDPR. Based on
         case-based experiences with risk profiling algorithms and aligned with
-        recent literature.
+        recent (scientific) publications.
       link: >-
         /knowledge-platform/knowledge-base/public_standard_meaningful_human_intervention/
       image: /images/knowledge_base/Public_standard_meaningful_human_intervention.png
@@ -84,19 +75,19 @@ Activity_Feed:
   activities:
     - title: Guest lecture 'Fairness and Algorithms' ETH Zürich
       link: /events/activities/#events
-      image: /images/events/eth-zurich.jpg
+      image: /images/partner logo-cropped/ETH.jpg
       date: 23-05-2025
       type: event
     - title: Panel discussion CPDP'25
       link: /events/activities/#events
-      image: /images/events/cpdp-logo-2025.svg
+      image: /images/partner logo-cropped/CPDP25.svg
       date: 21-05-2025
       type: panel discussion
     - title: >-
         Masterclass 'From data to decision', Jantina Tammes School of Digital
         Society, Technology and AI University of Groningen
       link: /events/activities/#events
-      image: /images/events/RUG.png
+      image: /images/partner logo-cropped/RUG.png
       date: 06-05-2025
       type: event
   items_button_text: More events
@@ -107,88 +98,81 @@ Areas_of_AI_expertise:
   width_m: 4
   width_s: 12
   feature_item:
-    - name: Algorithms for decision support
-      icon: fas fa-divide
+    - name: Sociotechnical evaluation of generative AI
+      icon: fas fa-robot
       content: >
-        Auditing data-analysis methods and algorithms used for decision support.
-        Among others by checking organizational checks and balances, and
-        assessing the quantitative dimension
-    - name: AI Act standards
+        Evaluating Large Language Models (LLMs) and other general-purpose AI models for robustness, privacy and AI Act compliance. Based on real-world examples, are developing a framework to analyze content filters, guardrails and user interaction design choices. <a
+        href="/knowledge-platform/project-work/#LLM-validation"
+        style="text-decoration: underline;">Learn more</a> about our evaluation framework.
+    - name: AI Act implementation and standards
       icon: fas fa-certificate
       content: >
-        As Algorithm Audit is part of Dutch and Europen standardization
-        organisations NEN and CEN-CENELEC, AI systems are audited according to
-        the latest standards. See also our public <a
-        href="https://algorithmaudit.eu/knowledge-platform/standards/"
+        Our open-source <a
+        href="/technical-tools/implementation-tool/"
+        style="text-decoration: underline;">AI Act Implementation Tool</a> helps organizations identifying AI systems and assigning the right risk category. As a member of Dutch and European standardization organisations NEN and CEN-CENELEC, Algorithm Audit monitors and contributes to the development of standards for AI systems. See also our public <a
+        href="/knowledge-platform/standards/"
         style="text-decoration: underline;">knowledge base</a> on
         standardization
-    - name: Profiling
+    - name: Bias analysis
       icon: fas fa-chart-pie
       content: >
-        Auditing rule-based and ML-driven profiling, e.g., differentiation
-        policies, selection criteria, Z-testing, model validation and
-        organizational aspects
+        We evaluate algorithmic systems both from a qualitative and quantitative dimension. Besides expertise about data analysis and AI engineering, we possess have in-depth knowledge of legal frameworks concerning non-discrimination, automated decision-making and organizational risk management. See our <a
+        href="/knowledge-platform/knowledge-base/"
+        style="text-decoration: underline;">public standards</a> how to deploy algorithmic systems responsibly.
   button_text: Discuss collaboration
-  button_link: /knowledge-platform/project-work/
+  button_link: /knowledge-platform/project-work/#form
 Distinctive_in:
   title: Distinctive in
   enable: true
   width_m: 4
   width_s: 2
   feature_item:
-    - name: Independence
-      icon: fas fa-star-of-life
+    - name: Multi-disciplinary expertise
+      icon: fas fa-brain
       content: >
-        By working nonprofit and under explicit terms and conditions, we ensure
-        the independence and quality of our audits and normative advice
-    - name: Normative advice
-      icon: fas fa-search
+        We are pioneering the future of responsible AI by bringing together expertise in statistics, software development, law and ethics. Our work is widely read throughout Europe and beyond.
+    - name: Not-for-profit
+      icon: fas fa-seedling
       content: >
-        Mindful of societal impact our commissions provide normative advice on
-        ethical issues that arise in algorithmic use cases
-    - name: Public knowledge
-      icon: fab fa-slideshare
+        We work closely together with private and public sector organisations, regulators and policy makers to foster knowledge exchange about responsible AI. Working nonprofit suits our activities and goals best.
+    - name: Public knowledge building
+      icon: fas fa-box-open
       content: >
-        Audits and corresponding advice (*algoprudence*) are made <a
-        href="https://algorithmaudit.eu/algoprudence/" style="text-decoration:
-        underline;">publicly available</a>, increasing collective knowledge how
-        to deploy and use algorithms in an responsible way
-  button_text: Project work
+        We make our reports, software and best-practices publicy available, contributing to collective knowledge on the responsible deployment and use of AI. We prioritize public knowledge building over protecting our intellectual property.
+  button_text: Our projects
   button_link: /knowledge-platform/project-work/
 Supported_by:
-  title: Collaborating with
+  title: Working together with
   funders:
-    - image: /images/supported_by/sidn.png
-      link: "https://www.sidnfonds.nl/projecten/open-source-ai-auditing"
-      alt_text: Foundation for Internet and Democracy Netherlands
-    - image: /images/supported_by/EUAISFund.png
+    - image: /images/partner logo-cropped/CoE.png
+      link: "https://www.coe.int/en/web/portal/home"
+      alt_text: Council of Europe
+    - image: /images/partner logo-cropped/EAISF.png
       link: "https://europeanaifund.org/announcing-our-2022-open-call-grantees/"
       alt_text: European AI & Society Fund
-    - image: /images/supported_by/BZK.jpg
+    - image: /images/partner logo-cropped/CEN.jpg
+      link: "https://www.cencenelec.eu"
+      alt_text: "European standardisation committee "
+    - image: /images/partner logo-cropped/MinBZK.png
       link: >-
         https://www.rijksoverheid.nl/ministeries/ministerie-van-binnenlandse-zaken-en-koninkrijksrelaties
       alt_text: Dutch Ministry of the Interior
-    - image: /images/supported_by/HAI.png
-      link: "https://hai.stanford.edu/ai-audit-challenge-2023-finalists"
-      alt_text: Stanford University Human-Centered Artificial Intelligence Lab
-    - image: /images/supported_by/DUO.png
+    - image: /images/partner logo-cropped/MinJenV.png
+      link: "https://www.rijksoverheid.nl/ministeries/ministerie-van-justitie-en-veiligheid"
+      alt_text: Dutch Ministry of Justice and Security
+    - image: /images/partner logo-cropped/DUO.png
       link: "https://duo.nl"
       alt_text: Dutch Executive Agency for Education
-    - image: /images/partners/NEN.svg
-      link: "https://www.nen.nl"
-      alt_text: Dutch standardisation institute
-    - image: /images/partners/CEN.jpg
-      link: "https://www.cencenelec.eu"
-      alt_text: "Europees standardisation committee "
-    - image: /images/events/Amsterdam.png
+    - image: /images/partner logo-cropped/GemeenteAmsterdam.png
       link: "https://www.amsterdam.nl"
       alt_text: Municipality of Amsterdam
-    - image: /images/supported_by/CoE.png
-      link: "https://www.coe.int/en/web/portal/home"
-      alt_text: Council of Europe
-  button_text: And more
-  button_link: /funded-by
+    - image: /images/partner logo-cropped/SIDN.png
+      link: "https://www.sidnfonds.nl/excerpt"
+      alt_text: Foundation Internet Domain registration Netherlands
+    - image: /images/partner logo-cropped/NEN.svg
+      link: "https://www.nen.nl"
+      alt_text: Dutch standardisation institute
 Title_video:
-  title: The Movie
+  title: Video
   video_mp4: /videos/AA_video_(1080p).mp4
 ---

content/english/about/teams.md

@@ -15,8 +15,7 @@ about_AA:
       image: /images/about/knowledge-platform.svg
       content: >
         Bringing together experts and knowledge to foster the collective
-        learning process on the responsible use of algorithms, see for instance
-        our [AI policy observatory](/knowledge-platform/policy-observatory/),
+        learning process on the responsible use of algorithms, see our
         [white papers](/knowledge-platform/knowledge-base/) and
         [public standards](/knowledge-platform/knowledge-base/).
     - subtitle: Normative advice commissions
@@ -29,7 +28,7 @@ about_AA:
       image: /images/about/technical-tools.svg
       content: >
         Implementing and testing technical tools to detect and mitigate bias,
-        e.g., [unsupervised bias detection tool](/technical-tools/bdt/) and [synthetic data generation](/technical-tools/sdg/).
+        e.g., sociotechnical evaluation of generative AI, [unsupervised bias detection tool](/technical-tools/bdt/) and [synthetic data generation](/technical-tools/sdg/).
     - subtitle: Project work
       image: /images/about/project.svg
       content: >

content/english/algoprudence/cases/aa202301_bert-based-disinformation-classifier.md

@@ -26,7 +26,7 @@ Applying our self-build unsupervised [bias detection tool](/technical-tools/bdt
 
 This case study, in combination with our [bias detection tool](/technical-tools/bdt/), has been selected as a finalist for [Stanford’s AI Audit Challenge 2023](https://hai.stanford.edu/ai-audit-challenge-2023-finalists).
 
-{{< image id="stanford" width_desktop="6" width_mobile="12" image1="/images/supported_by/HAI.png" link1="https://hai.stanford.edu/ai-audit-challenge-2023-finalists" alt1="Stanford University" caption1="Stanford University" >}}
+{{< image id="stanford" width_desktop="6" width_mobile="12" image1="/images/partner logo-cropped/StanfordHAI.png" link1="https://hai.stanford.edu/ai-audit-challenge-2023-finalists" alt1="Stanford University" caption1="Stanford University" >}}
 
 #### Presentation
 
@@ -51,15 +51,15 @@ A visual presentation of this case study can be found in this [slide deck](http
 
 {{< accordions_area_open id="actions" >}}
 
-{{< accordion_item_open image="/images/supported_by/sidn.png" title="Funding for further development" id="sidn" date="01-12-2023" tag1="funding" tag2="open source" tag3="AI auditing tool" >}}
+{{< accordion_item_open image="/images/partner logo-cropped/SIDN.png" title="Funding for further development" id="sidn" date="01-12-2023" tag1="funding" tag2="open source" tag3="AI auditing tool" >}}
 
 ##### Description
 
 [SIDN Fund](https://www.sidnfonds.nl/projecten/open-source-ai-auditing) is supporting Algorithm Audit for further development of the bias detection tool. On 01-01-2024, a [team](/nl/about/teams/#bdt) has started that is further developing a testing the tool.
 
 {{< accordion_item_close >}}
 
-{{< accordion_item_open title="Finalist selection Stanford's AI Audit Challenge 2023" image="/images/supported_by/HAI.png" id="ai_audit_challenge" date="28-04-2023" tag1="finalist" >}}
+{{< accordion_item_open title="Finalist selection Stanford's AI Audit Challenge 2023" image="/images/partner logo-cropped/StanfordHAI.png" id="ai_audit_challenge" date="28-04-2023" tag1="finalist" >}}
 
 ##### Description
 

content/english/algoprudence/cases/aa202401_preventing-prejudice.md

@@ -75,7 +75,7 @@ Report *Preventing prejudice* has been <a href="https://www.rijksoverheid.nl/doc
 
 {{< accordion_item_close >}}
 
-{{< accordion_item_open title="DUO apologizes for indirect discrimination in college allowances control process" image="/images/supported_by/DUO.png" id="DUO-apologies" date="01-03-2024" tag1="press release" >}}
+{{< accordion_item_open title="DUO apologizes for indirect discrimination in college allowances control process" image="/images/partner logo-cropped/DUO.png" id="DUO-apologies" date="01-03-2024" tag1="press release" >}}
 
 ##### Description