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rfx.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.
image-banner: https://ethical.institute/images/flyer.jpg
---
<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">
<h2 style="font-size: 4em; color: #01C3A7; font-weight: bold; text-align: center; line-height: 1.3em; margin-bottom: 20px">The AI-RFX Procurement Framework</h2>
<img class="logo-image" src="images/logos/eml-logo-white.png" alt="" style="max-width: 440px; width: 80%; margin-top: 30px" />
<header>
<h2 style="font-weight: bold; margin-top:0px">Practical templates to support AI procurement</h2>
<p style="font-weight: bold; max-width: 850px">
The AI-RFX Procurement Framework is a set of templates that were put together by domain experts to support industry practitioners looking to procure AI systems.
<br>
<br>
The framework is fully open source and was built using our <a href="#overview">Machine Learning Maturity Model</a> which evaluates the process and infrastructure, going beyond the AI algorithms.
</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">
<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$(medium)" id="overview">
<!-- Sidebar -->
<section id="sidebar">
<section>
<h3>Download a copy</h3>
<p>You can request a free copy of the AI-RFX Procurement Framework through <a href="#contact">the contact form below</a>, which will include the AI Request for Proposal template, and the AI Machine Learning Maturity Model.
<p>You can also apply to become a member of our <a href="#contact">Ethical AI Network (BETA)</a> and get access to more resources, including reports, case studies, as well as invitations to exclusive events and round tables.</p>
<a href="#" class="image fit"><img src="images/rfx-cover.png" alt="" /></a>
<h3>Free as in freedom</h3>
<p>The tempalte has been released on under an <a href="https://github.com/EthicalML/ai-rfx-procurement-framework">MIT open source license</a> to enable suppliers and industry practitioners to submit changes, case studies or examples. The AI-RFX framework is maintained by a global community of technologists and domain experts. If you are interested to contribute in this or similar projects apply to join the <a href="#contact">Ethical AI Network</a>, or get in touch through <a href="#contact">the contact form below</a></p>
</section>
</section>
</div>
<div class="8u$ 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 deployment of machine learning systems in industry.</p>
<p>This procurement framework goes beyond the machine learning algorithms. It provides a method to assess the maturity level of the technical infrastructure and processes around the algorithms themselves, by using our Machine Learning Maturity Model.</p>
<hr/>
<h3 id="model">The Machine Learning Maturity Model</h3>
<p>The Machine Learning Maturity Model is a set of criteria which ensures that the core technical infrastructure and the right processes are in place. It provides the ability for key industry practitioners to set a bar for quality, safety and performance when procuring machine learning solutions. You can request to download a copy of the AI-RFX Framework through <a href="#contact">the contact form below</a>, which contains this document as well.</p>
<p>
The model was designed using the <a href="principles.html">Responsible Machine Learning Principles</a>, and consists of the following 8 assessment criteria:
</p>
<div class="table-wrapper">
<table class="alt">
<thead>
<tr>
<th>Number</th>
<th>Assessment Criteria</th>
<th>Responsible ML Principle</th>
</tr>
</thead>
<tbody>
<tr>
<td>#1</td>
<td>Practical benchmarks</td>
<td><a href="principles.html#commitment-6">Principle #6: Practical accuracy</a></td>
</tr>
<tr>
<td>#2</td>
<td>Explainability by justification</td>
<td><a href="principles.html#commitment-3">Principle #3: Explainability by justification</a></td>
</tr>
<tr>
<td>#3</td>
<td>Infrastructure for reproducible operations</td>
<td><a href="principles.html#commitment-4">Principle #4: Reproducible operations</a></td>
</tr>
<tr>
<td>#4</td>
<td>Data and model assessment proceses</td>
<td><a href="principles.html#commitment-2">Principle #2: Bias Evaluation</a></td>
</tr>
<tr>
<td>#5</td>
<td>Privacy enforcing capabilities</td>
<td><a href="principles.html#commitment-7">Principle #7: Trust by privacy</a></td>
</tr>
<tr>
<td>#6</td>
<td>Operational process design</td>
<td><a href="principles.html#commitment-1">Principle #1: Human Augmentation</a></td>
</tr>
<tr>
<td>#7</td>
<td>Change management capabilities</td>
<td><a href="principles.html#commitment-5">Principle #5: Displacement strategy</a></td>
</tr>
<tr>
<td>#8</td>
<td>Security risk mitigations</td>
<td><a href="principles.html#commitment-8">Principle #8: Security risks</a></td>
</tr>
</tbody>
</table>
</div>
</section>
</div>
</div>
</div>
</section>
{% include apply-form.html %}
{% include footer.html %}
</body>
</html>