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xai.html
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---
title: The Institute for Ethical AI & Machine Learning
description: The Institute for Ethical AI & Machine Learning is a Europe-based research centre that brings togethers technologists, academics and policy-makers to develop industry frameworks that support the responsible development, design and operation of machine learning systems.
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<html>
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<section id="banner" style="font-size: 11pt">
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<h2 style="font-size: 4em; color: #01C3A7; font-weight: bold; text-align: center; line-height: 1.3em; margin-bottom: 20px">XAI - eXplainableAI Framework</h2>
<img class="logo-image" src="images/logos/eml-logo-white.png" alt="" style="max-width: 440px; width: 80%; margin-top: 30px" />
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<h2 style="font-weight: bold; margin-top:0px">An eXplainability framework for Machine Learning</h2>
<p style="font-weight: bold; max-width: 850px">
The <a href="https://github.com/EthicalML/XAI">XAI Framework</a> allows you to introduce explainability and perform bias evaluation in AI systems by going beyond algorithms using a tool+process approach.
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<br>
The XAI Framework is fully open source, and the eXplainability Framework is currently in ALPHA stage. If you're interested to learn more, <a href="/index.html#contact">get in touch</a>.
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<h2>
XAI - The eXplainable AI Framework [ALPHA]
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<h3>
Combining cutting edge research tools with practical industry processes to ensure machine learning systems are explainable and undesired biases are mitigated.
<br>
<br>
The XAI Framework is <a href="https://github.com/EthicalML/XAI">open source</a>, and converts the <a href="https://ethical.institute/principles.html">Principles for Responsible Machine Learning</a> into a practical tool + process approach.
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<a href="#" class="image fit"><img src="images/xai-computer.png" alt="" /></a>
<h3>Free as in freedom</h3>
<p>The XAI Framework is open source and it <a href="https://github.com/EthicalML/XAI">is available at GitHub</a>.</p>
<h3>Maintained with ♥ by our members</h3>
<p>The codebase is maintained by the <a href="/index.html#network">Ethical AI Network</a> which is a global community of technologists and domain experts</p>
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<h3>What do we mean by eXplainable AI?</h3>
<p>We see the challenge of explainability as more than just an algorithmic challenge. The XAI Framework is designed to empowers you to introduce explainability and perform bias evaluation through three steps: 1) data analysis, 2) model evaluation, and 3) production monitoring. This is visualised in the diagram below.</p>
<img src="images/bias.png" style="width: 100%">
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<h3>Check out our hands on case study where we introduce explainability and remove undesired biases in a credit risk / loan approval process using deep learning. <a href="https://www.youtube.com/watch?v=vq8mDiDODhc">Watch the technical video below.</a></h3>
<p style="width: 80%; margin: auto"><a href="https://www.youtube.com/watch?v=vq8mDiDODhc" rel="nofollow"><img src="images/video.jpg" style="max-width:100%;"></a></p>
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{% include apply-form.html %}
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