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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.
---
<html>
<head>
{% include header.html %}
</head>
<body>
<div id="page-wrapper">
{% include navbar.html %}
<section id="banner" style="font-size: 11pt">
<div class="content" style="text-align: center">
<img class="logo-image" src="images/logos/eml-logo-white.png" alt="" style="max-width: 440px; width: 80%" />
<header style="font-weight: bold">
<h2>The Institute for Ethical AI & Machine Learning</h2>
<p style="max-width: 850px">
The Institute for Ethical AI & Machine Learning is a Europe-based research centre that develops frameworks that support the responsible development, deployment and operation of machine learning systems.
<br>
<br>
We are formed by cross functional <a href="network.html">teams of volunteers</a> including leaders in technology, machine learning, industry, policy and academia (STEM, Humanities and Social Sciences).
</p>
</header>
<br>
</div>
<a href="#one" class="goto-next scrolly">Next</a>
</section>
<section id="one" class="spotlight style1 bottom">
<span class="image fit main"><img src="images/dots-vision.jpg" alt="" /></span>
<div class="content" style="text-align: center">
<header class="major">
<h2>
We have a commitment to advocate for the responsible development of AI
</h2>
<h3>
We are a research centre that carries out highly-technical, practical and cross-functional research across <a href="#principles">the 8 Machine Learning Principles</a>.
<br>
<br>
We work with industry, academia and governments to develop <a href="https://ethical.institute/rfx.html">frameworks</a> and <a href="https://github.com/EthicalML/XAI">libraries</a> that align with our <a href="#phases">4 phases towards responsible AI</a>.
<br>
<br>
</h3>
</header>
<a href="#contact" class="button special">Contact us or join</a>
<br>
<br>
</div>
</section>
<section id="four" class="wrapper style1 special fade-up">
<div id="phases" class="container">
<header class="major" style="text-align: center">
<h2>
The Institute's 4 phase strategy towards responsible development of AI
</h2>
<br>
</header>
<div class="row uniform">
<section class="3u 6u(medium) 12u$(xsmall)">
<h3>1. By Principle</h3>
<p>Empowering <b>individuals</b> through <a href="principles.html">best practices and applied principles</a></p>
</section>
<section class="3u 6u$(medium) 12u$(xsmall)">
<h3>2. By Process</h3>
<p>Empowering <b>leaders</b> through <a href="https://ethical.institute/rfx.html">practical industry frameworks and applied guides.</a></p>
</section>
<section class="3u 6u(medium) 12u$(xsmall)">
<h3>3. By Standards</h3>
<p>Empowering entire <b>industries</b> through our <a href="https://sites.ieee.org/sagroups-7003/">contributions to industry standards</a>.</p>
</section>
<section class="3u$ 6u$(medium) 12u$(xsmall)">
<h3>4. By Regulation</h3>
<p>Empowering entire <b>nations</b> through our <a href="https://ethical.institute/rfx.html">work</a>.</p>
</section>
</div>
</div>
<br>
<br>
<br>
<h2>Learn more about the <a href="#principles">8 principles below</a>, or join <a href="#contact">the Ethical ML Network (BETA)</a>.</h2>
</div>
</section>
<section id="one" class="spotlight style1 bottom">
<span class="image fit main"><img src="images/robothand.png" alt="" /></span>
<div id="principles" class="content">
<header class="major" style="text-align: center">
<h2>
The 8 machine learning principles
</h2>
<h3>
The Machine Learning Principles are a practical framework put together by domain experts.
<br>Their objective is to provide guidance for technologists to develop machine learning systems responsibly.
<br>
<br>
<br>
Below are the summarised 8 principles. For full descriptions go to <a href="principles.html">the principles page</a>.
</h3>
</header>
</div>
</section>
<section id="four" class="wrapper style1 special fade-up">
<div class="container">
<div class="container">
<div class="row uniform">
<section class="3u 6u(medium) 12u$(xsmall)">
<span class="icon alt major fa-cog"></span>
<h3><a href="principles.html#commitment-1">1. Human augmentation</a></h3>
<p>I commit to assess the impact of incorrect predictions and, when reasonable, design systems with human-in-the-loop review processes</p>
</section>
<section class="3u 6u$(medium) 12u$(xsmall)">
<span class="icon alt major fa-pie-chart"></span>
<h3><a href="principles.html#commitment-2">2. Bias evaluation</a></h3>
<p>I commit to continuously develop processes that allow me to understand, document and monitor bias in development and production.</p>
</section>
<section class="3u 6u(medium) 12u$(xsmall)">
<span class="icon alt major fa-info-circle"></span>
<h3><a href="principles.html#commitment-3">3. Explainability by justification</a></h3>
<p>I commit to develop tools and processes to continuously improve transparency and explainability of machine learning systems where reasonable.</p>
</section>
<section class="3u$ 6u$(medium) 12u$(xsmall)">
<span class="icon alt major fa-flask"></span>
<h3><a href="principles.html#commitment-4">4. Reproducible operations</a></h3>
<p>I commit to develop the infrastructure required to enable for a reasonable level of reproducibility across the operations of ML systems.</p>
</section>
<section class="3u 6u(medium) 12u$(xsmall)">
<span class="icon alt major fa-group"></span>
<h3><a href="principles.html#commitment-5">5. Displacement strategy</a></h3>
<p>I commit to identify and document relevant information so that business change processes can be developed to mitigate the impact towards workers being automated.</p>
</section>
<section class="3u 6u$(medium) 12u$(xsmall)">
<span class="icon alt major fa-bar-chart"></span>
<h3><a href="principles.html#commitment-6">6. Practical accuracy</a></h3>
<p>I commit to develop processes to ensure my accuracy and cost metric functions are aligned to the domain-specific applications.</p>
</section>
<section class="3u 6u(medium) 12u$(xsmall)">
<span class="icon alt major fa-commenting-o"></span>
<h3><a href="principles.html#commitment-7">7. Trust by privacy</a></h3>
<p>I commit to build and communicate processes that protect and handle data with stakeholders that may interact with the system directly and/or indirectly.</p>
</section>
<section class="3u 6u$(medium) 12u$(xsmall)">
<span class="icon alt major fa-exclamation-triangle"></span>
<h3><a href="principles.html#commitment-8">8. Security risks</a></h3>
<p>I commit to develop and improve reasonable processes and infrastructure to ensure data and model security are being taken into consideration during the development of machine learning systems.</p>
</section>
</div>
</div>
<br>
<br>
<br>
<h2>You can read the extended descriptions with case studies and examples for all the principles at <a style="color: #01C3A7" href="principles.html">the principles page.</a></h2>
</div>
</section>
<section id="one" class="spotlight style1 bottom">
<span class="image fit main"><img src="images/robotarm.jpg" alt="" /></span>
<div class="content">
<header class="major">
<h2>
The AI-RFX Procurement Framework
</h2>
<h3>
The AI-RFX is a procurement framework is a set of templates to empower industry practitioners to raise the bar for AI safety, quality and performance.
<br>
<br>
The framework is open source, and converts the the <a href="https://ethical.institute/principles.html">Principles for Responsible Machine Learning</a> into a checklist.
</h3>
</header>
</div>
</section>
<section id="four" class="wrapper style1 special fade-up">
<div class="container">
<div class="row 150%">
<div class="4u 12u$(medium)" id="overview">
<!-- Sidebar -->
<section id="sidebar">
<section>
<h3>More info and download</h3>
<p>More information and instructions how to download at the <a href="rfx.html">AI-RFX Procurement Framework Page</a>.</p>
<a href="#" class="image fit"><img src="images/rfx-cover.png" alt="" /></a>
</section>
</section>
</div>
<div class="8u$ 12u$(medium) important(medium)">
<!-- Content -->
<section id="content">
<h3>Raising the bar for AI safety, quality and performance in industry</h3>
<p>The AI-RFX procurement framework has been put together by a group of domain experts. Its purpose is to ensure best practices in industry during the procurement, design, devleopment and integration of machine learning systems in industry.</p>
<p>The framework goes beyond the AI algorithms and provides a method to assess the maturity of the processes and technical infrastructure around the algorithms. The rramework consists of a request for proposal template as well as an assessment criteria template that is based on our Machine Learnign Maturity Model which can be downloaded at the <a href="rfx.html">AI-RFX Procurement Framework page</a>.</p>
<br>
<hr/>
<br>
<h2><a href="rfx.html">More info and download at AI-RFX page</a></h2>
</section>
</div>
</div>
</div>
</section>
<section id="one" class="spotlight style1 bottom">
<span class="image fit main"><img src="images/pairprogramming.jpg" alt="" /></span>
</section>
<section id="four" class="wrapper style1 special fade-up">
<div class="container">
<div class="container" style="text-align:left">
<div class="row 150%">
<div class="4u 12u$(medium)">
<section id="sidebar">
<hr>
<section>
<h3>About The Institute for Ethical AI & Machine Learning</h3>
<p>We are a Europe-based think tank that brings together technology leaders, policymakers & academics to develop industry standards for Data Governance & Machine Learning. </p>
<footer>
<ul class="actions">
<li><a href="#contact" class="button special">Contact us or Join</a></li>
</ul>
</footer>
</section>
</section>
</div>
<div id="network" class="8u$ 12u$(medium) important(medium)">
<section id="content">
<h3 id="network">Apply to join the Ethical ML Network (BETA)</h3>
<p>The Ethical ML Network (BETA) is a global network of diverse engineers, scientists, managers, leaders and thinkers that align on <a href="#principles">the 8 principles for responsible development of machine learning</a>, and support the <a href="#phases">4 phases towards responsible development of AI</a>. The network is currently on BETA, so if you want to join you can submit a request in the <a href="#contact">form below</a>. This network is relevant if you are:</p>
<ul>
<li>An AI startup/scale-up founder building machine learning solutions</li>
<li>An industry professional looking to procure, develop or interact with AI systems</li>
<li>A professor or academic doing research related to AI, Data, Privacy and/or ML.</li>
<li>An engineer designing, building or maintaining machine learning systems</li>
<li>A data scientist performing analysis on big data or building statistical models</li>
<li>A product, project or delivery manager involved in any stage of a ML system lifecycle</li>
</ul>
<p>The "Ethical ML Network (BETA)" is a play on words which reinforces our core ethos. We believe that the only machine learning network that can be induced with ethics in practical industrial usecases is one made out of responsible and aligned humans who advocate for best practices during the design and development of machine learning systems. This is reinforced in each one of the Machine Learning Principles.</p>
</section>
</div>
</div>
</div>
</div>
</section>
{% include apply-form.html %}
{% include footer.html %}
</body>
</html>