diff --git a/docs/README.qmd b/docs/README.qmd index b52760e..6e8540a 100644 --- a/docs/README.qmd +++ b/docs/README.qmd @@ -5,4 +5,4 @@ format: bibliography: bib.bib --- -{{< include about.qmd >}} \ No newline at end of file +{{< include content/about.qmd >}} \ No newline at end of file diff --git a/docs/content/about.html b/docs/content/about.html new file mode 100644 index 0000000..aadc3b4 --- /dev/null +++ b/docs/content/about.html @@ -0,0 +1,678 @@ + + + + + + + + + +about + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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About

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Taija currently covers a range of approaches towards making AI systems more trustworthy:

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Various meta packages can be used to extend the core functionality:

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The TaijaBase.jl package provides common symbols, types and functions that are used across all or multiple Taija packages.

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%%{
+  init: {
+    'theme': 'base',
+    'themeVariables': {
+      'primaryColor': '#BB2528',
+      'primaryTextColor': '#fff',
+      'primaryBorderColor': '#7C0000',
+      'lineColor': '#F8B229',
+      'secondaryColor': '#006100',
+      'tertiaryColor': '#e9edfb',
+      'fontFamily': "avenir"
+    }
+  }
+}%%
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+flowchart TB
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+    classDef taija fill:#389836,stroke:#333,color:#fff;
+    classDef core fill:#CB3C33,stroke:#333,color:#fff;
+    classDef base fill:#9558B2,stroke:#333,color:#fff;
+
+    %% Base
+    base["TaijaBase.jl"]
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+    %% Meta
+    interop["TaijaInteroperability.jl"]
+    data["TaijaData.jl"]
+    parallel["TaijaParallel.jl"]
+    plotting["TaijaPlotting.jl"]
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+    %% Core
+    ce["CounterfactualExplanations.jl"]
+    ar["AlgorithmiRecourseDynamics.jl"]
+    cp["ConformalPrediction.jl"]
+    lr["LaplaceRedux.jl"]
+    jem["JointEnergyModels.jl"]
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+    class base base;
+    class interop,data,parallel,plotting taija;
+    class ce,cp,lr,jem,ar core;
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+    %% Graph
+    subgraph "Meta Packages"
+        data & plotting & parallel & interop
+    end
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+    subgraph "Core Packages"
+        ce & cp & lr & jem & ar
+    end
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+Figure 1: An overview of the Taija ecosystem. +
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Why Taija?

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Taija stands for Trustworthy Artificial Intelligence in Julia. When thinking about a logo that embodies trustworthiness, we quickly landed on šŸ¶.

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Contact

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Probably the easiest way is to join the JuliaLang Slack and join our #taija channel. You can also post a GitHub Issue on our organization repo. You can find @pat-altā€™s socials and contact details on his website: www.paltmeyer.com.

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Contribute

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We welcome contributions of any kind. If you want to get involved or use our software for or project, please feel free to reach out. If you have questions, comments or issues related to specific packages, please feel free to open issues or discussions on the respective repository.

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Taija

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Trustworthy Artificial Intelligence in Julia

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News

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  • 2024-04-09: Taija is taking part in Google Summer of Code for the first time! We are excited to mentor students on various projects related to Trustworthy AI in Julia. Find the list of projects here.
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Research using Taija

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Taija has been used in the following publications:

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  • Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition [@hengst2024conformal] upcoming in ACLā€™s NAACL Findings 20241.
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  • Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals [@altmeyer2024faithful] published in Proceedings of the AAAI Conference on Artificial Intelligence 2024.
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  • Explaining Black-Box Models through Counterfactuals [@altmeyer2023explaining] published in JuliaCon Proceedings.
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  • Endogenous Macrodynamics in Algorithmic Recourse [@altmeyer2023endogenous] published in Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).
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If you have used Taija in your research, please let us know so we can add your publication to the list.

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Footnotes

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  1. Experiments were run in parallel using Pythonā€™s MAPIE and ConformalPrediction.jl, in order to cross-check results. Reported results were produced using MAPIE.ā†©ļøŽ

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Sponsors

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Some of Taijaā€™s contributors have been partially or fully funded by one or more of the following entities:

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+ + TU Delft Logo + + + ING Logo +
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Trustworthy Artificial Intelligence in Julia

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Taija is the organization that hosts software geared towards Trustworthy Artificial Intelligence in Julia.

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